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https://api.github.com/repos/huggingface/datasets/issues/7143 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7143/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7143/comments | https://api.github.com/repos/huggingface/datasets/issues/7143/events | https://github.com/huggingface/datasets/pull/7143 | 2,512,327,211 | PR_kwDODunzps56xCm6 | 7,143 | Modify add_column() to optionally accept a pyarrow schema as param | {
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"Requesting review @lhoestq \r\nI will also update the docs if this looks good.",
"Cool ! maybe you can rename the argument `feature` and with type `FeatureType` ? This way it would work the same way as `.cast_column()` ?",
"@lhoestq Since there is no way to get a `pyarrow.Schema` from a `FeatureType`, I had to... | 2024-09-08T10:56:57 | 2024-09-08T11:10:17 | null | NONE | null | 0 | {
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} | [Open Issue](https://github.com/huggingface/datasets/issues/7142)
**Before (Add + Cast)**:
```
from datasets import load_dataset, Value
ds = load_dataset("rotten_tomatoes", split="test")
lst = [i for i in range(len(ds))]
ds = ds.add_column("new_col", lst)
# Assigns int64 to new_col by default
print(ds.fea... | {
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"#self-assign"
] | 2024-09-08T07:34:24 | 2024-09-08T07:35:26 | null | NONE | null | null | null | ### Feature request
There should be a way to specify the datatype of a column in `datasets.add_column()`.
### Motivation
To specify a custom datatype, we have to use `datasets.add_column()` followed by `datasets.cast_column()` which is slow for large datasets. Another workaround is to pass a `numpy.array()` of desi... | {
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https://api.github.com/repos/huggingface/datasets/issues/7141 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7141/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7141/comments | https://api.github.com/repos/huggingface/datasets/issues/7141/events | https://github.com/huggingface/datasets/issues/7141 | 2,510,797,653 | I_kwDODunzps6Vp7tV | 7,141 | Older datasets throwing safety errors with 2.21.0 | {
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"I am also getting this error with this dataset: https://huggingface.co/datasets/google/IFEval",
"Me too, didn't have this issue few hours ago.",
"same observation. I even downgraded `datasets==2.20.0` and `huggingface_hub==0.23.5` leading me to believe it's an issue on the server.\r\n\r\nany known workarounds?... | 2024-09-06T16:26:30 | 2024-09-06T21:14:14 | 2024-09-06T19:09:29 | NONE | null | null | null | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | {
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https://api.github.com/repos/huggingface/datasets/issues/7139 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7139/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7139/comments | https://api.github.com/repos/huggingface/datasets/issues/7139/events | https://github.com/huggingface/datasets/issues/7139 | 2,508,078,858 | I_kwDODunzps6Vfj8K | 7,139 | Use load_dataset to load imagenet-1K But find a empty dataset | {
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```python
def get_dataset(data_path, train_folder="train", val_folder="val"):
traindir = os.path.join(data_path, train_folder)
valdir = os.path.join(data_path, val_folder)
def transform_val_examples(examples):
transform = Compose([
Resize(256),
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7138 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7138/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7138/comments | https://api.github.com/repos/huggingface/datasets/issues/7138/events | https://github.com/huggingface/datasets/issues/7138 | 2,507,738,308 | I_kwDODunzps6VeQzE | 7,138 | Cache only changed columns? | {
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"so I guess a workaround to this is to simply remove all columns except the ones to cache and then add them back with `concatenate_datasets(..., axis=1)`."
] | 2024-09-05T12:56:47 | 2024-09-05T13:56:13 | null | CONTRIBUTOR | null | null | null | ### Feature request
Cache only the actual changes to the dataset i.e. changed columns.
### Motivation
I realized that caching actually saves the complete dataset again.
This is especially problematic for image datasets if one wants to only change another column e.g. some metadata and then has to save 5 TB again.
#... | {
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https://api.github.com/repos/huggingface/datasets/issues/7137 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7137/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7137/comments | https://api.github.com/repos/huggingface/datasets/issues/7137/events | https://github.com/huggingface/datasets/issues/7137 | 2,506,851,048 | I_kwDODunzps6Va4Lo | 7,137 | dataset_info sequence format unexpected behavior in README.md YAML | {
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"The non-sequence case works well (`dict[str, str]` instead of `list[dict[str, str]]`), which makes me believe it shall be a bug for `sequence` and my proposed behavior shall be expected.\r\n```\r\ndataset_info:\r\n- config_name: default\r\n features:\r\n - name: answers\r\n dtype:\r\n - name: text\r\n ... | 2024-09-05T06:06:06 | 2024-09-05T06:10:56 | null | NONE | null | null | null | ### Describe the bug
When working on `dataset_info` yaml, I find my data column with format `list[dict[str, str]]` cannot be coded correctly.
My data looks like
```
{"answers":[{"text": "ADDRESS", "label": "abc"}]}
```
My `dataset_info` in README.md is:
```
dataset_info:
- config_name: default
feature... | {
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https://api.github.com/repos/huggingface/datasets/issues/7136 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7136/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7136/comments | https://api.github.com/repos/huggingface/datasets/issues/7136/events | https://github.com/huggingface/datasets/pull/7136 | 2,506,115,857 | PR_kwDODunzps56b9R- | 7,136 | Do not consume unnecessary memory during sharding | {
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} | When sharding `IterableDataset`s, a temporary list is created that is then indexed. There is no need to create a temporary list of a potentially very large step/world size, with standard `islice` functionality, so we avoid it.
```shell
pytest tests/test_distributed.py -k iterable
```
Runs successfully. | {
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https://api.github.com/repos/huggingface/datasets/issues/7135 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7135/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7135/comments | https://api.github.com/repos/huggingface/datasets/issues/7135/events | https://github.com/huggingface/datasets/issues/7135 | 2,503,318,328 | I_kwDODunzps6VNZs4 | 7,135 | Bug: Type Mismatch in Dataset Mapping | {
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"By the way, following code is working. This show the inconsistentcy.\r\n```python\r\nfrom datasets import Dataset\r\n\r\n# Original data\r\ndata = {\r\n 'text': ['Hello', 'world', 'this', 'is', 'a', 'test'],\r\n 'label': [0, 1, 0, 1, 1, 0]\r\n}\r\n\r\n# Creating a Dataset object\r\ndataset = Dataset.from_dic... | 2024-09-03T16:37:01 | 2024-09-05T14:09:05 | null | NONE | null | null | null | # Issue: Type Mismatch in Dataset Mapping
## Description
There is an issue with the `map` function in the `datasets` library where the mapped output does not reflect the expected type change. After applying a mapping function to convert an integer label to a string, the resulting type remains an integer instead of ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7134/comments | https://api.github.com/repos/huggingface/datasets/issues/7134/events | https://github.com/huggingface/datasets/issues/7134 | 2,499,484,041 | I_kwDODunzps6U-xmJ | 7,134 | Attempting to return a rank 3 grayscale image from dataset.map results in extreme slowdown | {
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Background: Digital images are often represented as a (Height, Width, Channel) tensor. This is the same for huggingface datasets that contain images. These images are loaded in Pillow containers which offer, for example, the `.convert` method.
I can convert an image from a (H,W,3) shape to a... | {
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https://api.github.com/repos/huggingface/datasets/issues/7133 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7133/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7133/comments | https://api.github.com/repos/huggingface/datasets/issues/7133/events | https://github.com/huggingface/datasets/pull/7133 | 2,496,474,495 | PR_kwDODunzps557zng | 7,133 | remove filecheck to enable symlinks | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7133). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"The CI is failing, looks like it breaks imagefolder loading.\r\n\r\nI just checked fssp... | 2024-08-30T07:36:56 | 2024-09-04T12:46:56 | null | CONTRIBUTOR | null | 0 | {
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"Hi ! datasets saved using `save_to_disk` should be loaded with `load_from_disk` ;)",
"It is convienient to just pass in a path to a local dataset or one from the hub and use the same function to load it. Is it not possible to get this fix merged in to allow this? ",
"We can modify `save_to_disk` to write the d... | 2024-08-29T13:48:16 | 2024-09-02T19:52:13 | null | NONE | null | 0 | {
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} | I saved a dataset with two splits to disk with `DatasetDict.save_to_disk`. The train is bigger and ended up in 10 shards, whereas the test split only resulted in 1 split.
Now when trying to load the dataset, an error is raised that not all splits have the same data format:
> ValueError: Couldn't infer the same da... | {
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https://api.github.com/repos/huggingface/datasets/issues/7129 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7129/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7129/comments | https://api.github.com/repos/huggingface/datasets/issues/7129/events | https://github.com/huggingface/datasets/issues/7129 | 2,491,942,650 | I_kwDODunzps6UiAb6 | 7,129 | Inconsistent output in documentation example: `num_classes` not displayed in `ClassLabel` output | {
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"g... | [] | open | false | null | [] | null | [] | 2024-08-28T12:27:48 | 2024-08-28T12:27:48 | null | NONE | null | null | null | In the documentation for [ClassLabel](https://huggingface.co/docs/datasets/v2.21.0/en/package_reference/main_classes#datasets.ClassLabel), there is an example of usage with the following code:
````
from datasets import Features
features = Features({'label': ClassLabel(num_classes=3, names=['bad', 'ok', 'good'])})
... | {
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] | open | false | null | [] | null | [] | 2024-08-27T20:31:09 | 2024-08-27T20:31:09 | null | NONE | null | null | null | ### Feature request
I am not sure if this is a new feature, but I wanted to post this problem here, and hear if others have ways of optimizing and speeding up this process.
Let's say I have a really large dataset that I cannot load into memory. At this point, I am only aware of `streaming=True` to load the dataset.... | {
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"I first thought this was a mistake of mine, and also posted on stack overflow. https://stackoverflow.com/questions/78913797/iterating-a-huggingface-dataset-from-disk-using-generator-seems-broken-how-to-d \r\n\r\nIt seems to me the issue is the caching step in \r\n\r\nhttps://github.com/huggingface/datasets/blob/be... | 2024-08-26T10:29:48 | 2024-08-26T10:35:57 | null | NONE | null | null | null | ### Describe the bug
Create a dataset. Save it to disk. Load from disk. Shuffle, usning a `np.random.Generator`. Iterate. Shuffle again. Iterate. The iterates are different since the supplied np.random.Generator has progressed between the shuffles.
Load dataset from disk again. Shuffle and Iterate. See same result ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7126 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7126/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7126/comments | https://api.github.com/repos/huggingface/datasets/issues/7126/events | https://github.com/huggingface/datasets/pull/7126 | 2,485,939,495 | PR_kwDODunzps55Y-Ws | 7,126 | Disable implicit token in CI | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7126). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
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This PR allows running CI tests locally without implicitly using the local user HF token. For example, run locally the tests in:
- #7124 | {
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https://api.github.com/repos/huggingface/datasets/issues/7125 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7125/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7125/comments | https://api.github.com/repos/huggingface/datasets/issues/7125/events | https://github.com/huggingface/datasets/pull/7125 | 2,485,912,246 | PR_kwDODunzps55Y4TM | 7,125 | Fix wrong SHA in CI tests of HubDatasetModuleFactoryWithParquetExport | {
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https://api.github.com/repos/huggingface/datasets/issues/7124 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7124/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7124/comments | https://api.github.com/repos/huggingface/datasets/issues/7124/events | https://github.com/huggingface/datasets/pull/7124 | 2,485,890,442 | PR_kwDODunzps55YzWr | 7,124 | Test get_dataset_config_info with non-existing/gated/private dataset | {
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Related to:
- #7109
See also:
- https://github.com/huggingface/dataset-viewer/pull/3037: https://github.com/huggingface/dataset-viewer/pull/3037/commits/bb1a7e00c53c242088597cab6572e4fd57797ecb | {
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https://api.github.com/repos/huggingface/datasets/issues/7123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7123/comments | https://api.github.com/repos/huggingface/datasets/issues/7123/events | https://github.com/huggingface/datasets/issues/7123 | 2,484,003,937 | I_kwDODunzps6UDuRh | 7,123 | Make dataset viewer more flexible in displaying metadata alongside images | {
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] | open | false | null | [] | null | [] | 2024-08-23T22:56:01 | 2024-08-23T23:01:42 | null | NONE | null | null | null | ### Feature request
To display images with their associated metadata in the dataset viewer, a `metadata.csv` file is required. In the case of a dataset with multiple subsets, this would require the CSVs to be contained in the same folder as the images since they all need to be named `metadata.csv`. The request is th... | {
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https://api.github.com/repos/huggingface/datasets/issues/7122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7122/comments | https://api.github.com/repos/huggingface/datasets/issues/7122/events | https://github.com/huggingface/datasets/issues/7122 | 2,482,491,258 | I_kwDODunzps6T9896 | 7,122 | [interleave_dataset] sample batches from a single source at a time | {
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] | open | false | null | [] | null | [] | 2024-08-23T07:21:15 | 2024-08-23T07:21:15 | null | NONE | null | null | null | ### Feature request
interleave_dataset and [RandomlyCyclingMultiSourcesExamplesIterable](https://github.com/huggingface/datasets/blob/3813ce846e52824b38e53895810682f0a496a2e3/src/datasets/iterable_dataset.py#L816) enable us to sample data examples from different sources. But can we also sample batches in a similar man... | {
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https://api.github.com/repos/huggingface/datasets/issues/7121 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7121/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7121/comments | https://api.github.com/repos/huggingface/datasets/issues/7121/events | https://github.com/huggingface/datasets/pull/7121 | 2,480,978,483 | PR_kwDODunzps55Iukl | 7,121 | Fix typed examples iterable state dict | {
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https://api.github.com/repos/huggingface/datasets/issues/7120 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7120/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7120/comments | https://api.github.com/repos/huggingface/datasets/issues/7120/events | https://github.com/huggingface/datasets/pull/7120 | 2,480,674,237 | PR_kwDODunzps55HrBy | 7,120 | don't mention the script if trust_remote_code=False | {
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"Note that in this case, we could even expect this kind of message:\r\n\r\n```\r\nDataFi... | 2024-08-22T12:32:32 | 2024-08-22T14:39:52 | 2024-08-22T14:33:52 | CONTRIBUTOR | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | See https://huggingface.co/datasets/Omega02gdfdd/bioclip-demo-zero-shot-mistakes for example. The error is:
```
FileNotFoundError: Couldn't find a dataset script at /src/services/worker/Omega02gdfdd/bioclip-demo-zero-shot-mistakes/bioclip-demo-zero-shot-mistakes.py or any data file in the same directory. Couldn't f... | {
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https://api.github.com/repos/huggingface/datasets/issues/7119 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7119/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7119/comments | https://api.github.com/repos/huggingface/datasets/issues/7119/events | https://github.com/huggingface/datasets/pull/7119 | 2,477,766,493 | PR_kwDODunzps54-GjY | 7,119 | Install transformers with numpy-2 CI | {
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Note that transformers no longer pins numpy < 2 since transformers-4.43.0:
- https://github.com/huggingface/transformers/pull/32018
- https://github.com/huggingface/transformers/releases/tag/v4.43.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7118 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7118/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7118/comments | https://api.github.com/repos/huggingface/datasets/issues/7118/events | https://github.com/huggingface/datasets/pull/7118 | 2,477,676,893 | PR_kwDODunzps549yu4 | 7,118 | Allow numpy-2.1 and test it without audio extra | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7118). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-08-21T10:29:35 | 2024-08-21T11:05:03 | 2024-08-21T10:58:15 | MEMBER | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Allow numpy-2.1 and test it without audio extra.
This PR reverts:
- #7114
Note that audio extra tests can be included again with numpy-2.1 once next numba-0.61.0 version is released. | {
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https://api.github.com/repos/huggingface/datasets/issues/7117 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7117/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7117/comments | https://api.github.com/repos/huggingface/datasets/issues/7117/events | https://github.com/huggingface/datasets/issues/7117 | 2,476,555,659 | I_kwDODunzps6TnT2L | 7,117 | Audio dataset load everything in RAM and is very slow | {
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"Hi ! I think the issue comes from the fact that you return `row` entirely, and therefore the dataset has to re-encode the audio data in `row`.\r\n\r\nCan you try this instead ?\r\n\r\n```python\r\n# map the dataset\r\ndef transcribe_audio(row):\r\n audio = row[\"audio\"] # get the audio but do nothing with it\... | 2024-08-20T21:18:12 | 2024-08-26T13:11:55 | null | NONE | null | null | null | Hello, I'm working with an audio dataset. I want to transcribe the audio that the dataset contain, and for that I use whisper. My issue is that the dataset load everything in the RAM when I map the dataset, obviously, when RAM usage is too high, the program crashes.
To fix this issue, I'm using writer_batch_size tha... | {
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https://api.github.com/repos/huggingface/datasets/issues/7116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7116/comments | https://api.github.com/repos/huggingface/datasets/issues/7116/events | https://github.com/huggingface/datasets/issues/7116 | 2,475,522,721 | I_kwDODunzps6TjXqh | 7,116 | datasets cannot handle nested json if features is given. | {
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"Hi ! `Sequence` has a weird behavior for dictionaries (from tensorflow-datasets), use a regular list instead:\r\n\r\n```python\r\nds = datasets.load_dataset('json', data_files=\"./temp.json\", features=datasets.Features({\r\n 'ref1': datasets.Value('string'),\r\n 'ref2': datasets.Value('string'),\r\n 'cut... | 2024-08-20T12:27:49 | 2024-09-03T10:18:23 | 2024-09-03T10:18:07 | NONE | null | null | null | ### Describe the bug
I have a json named temp.json.
```json
{"ref1": "ABC", "ref2": "DEF", "cuts":[{"cut1": 3, "cut2": 5}]}
```
I want to load it.
```python
ds = datasets.load_dataset('json', data_files="./temp.json", features=datasets.Features({
'ref1': datasets.Value('string'),
'ref2': datasets.Value... | {
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https://api.github.com/repos/huggingface/datasets/issues/7115 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7115/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7115/comments | https://api.github.com/repos/huggingface/datasets/issues/7115/events | https://github.com/huggingface/datasets/issues/7115 | 2,475,363,142 | I_kwDODunzps6TiwtG | 7,115 | module 'pyarrow.lib' has no attribute 'ListViewType' | {
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"https://github.com/neurafusionai/Hugging_Face/blob/main/meta_opt_350m_customer_support_lora_v1.ipynb\r\n\r\ncouldnt train because of GPU\r\nI didnt pip install datasets -U\r\nbut looks like restarting worked"
] | 2024-08-20T11:05:44 | 2024-08-20T12:06:20 | null | NONE | null | null | null | ### Describe the bug
Code:
`!pipuninstall -y pyarrow
!pip install --no-cache-dir pyarrow
!pip uninstall -y pyarrow
!pip install pyarrow --no-cache-dir
!pip install --upgrade datasets transformers pyarrow
!pip install pyarrow.parquet
! pip install pyarrow-core libparquet
!pip install pyarrow --no-cache-di... | {
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https://api.github.com/repos/huggingface/datasets/issues/7114 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7114/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7114/comments | https://api.github.com/repos/huggingface/datasets/issues/7114/events | https://github.com/huggingface/datasets/pull/7114 | 2,475,062,252 | PR_kwDODunzps5404mO | 7,114 | Temporarily pin numpy<2.1 to fix CI | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7114). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-08-20T08:42:57 | 2024-08-20T09:09:27 | 2024-08-20T09:02:35 | MEMBER | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Temporarily pin numpy<2.1 to fix CI.
Fix #7111. | {
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https://api.github.com/repos/huggingface/datasets/issues/7113 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7113/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7113/comments | https://api.github.com/repos/huggingface/datasets/issues/7113/events | https://github.com/huggingface/datasets/issues/7113 | 2,475,029,640 | I_kwDODunzps6ThfSI | 7,113 | Stream dataset does not iterate if the batch size is larger than the dataset size (related to drop_last_batch) | {
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"That's expected behavior, it's also the same in `torch`:\r\n\r\n```python\r\n>>> list(DataLoader(list(range(5)), batch_size=10, drop_last=True))\r\n[]\r\n```"
] | 2024-08-20T08:26:40 | 2024-08-26T04:24:11 | 2024-08-26T04:24:10 | NONE | null | null | null | ### Describe the bug
Hi there,
I use streaming and interleaving to combine multiple datasets saved in jsonl files. The size of dataset can vary (from 100ish to 100k-ish). I use dataset.map() and a big batch size to reduce the IO cost. It was working fine with datasets-2.16.1 but this problem shows up after I upgr... | {
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https://api.github.com/repos/huggingface/datasets/issues/7112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7112/comments | https://api.github.com/repos/huggingface/datasets/issues/7112/events | https://github.com/huggingface/datasets/issues/7112 | 2,475,004,644 | I_kwDODunzps6ThZLk | 7,112 | cudf-cu12 24.4.1, ibis-framework 8.0.0 requires pyarrow<15.0.0a0,>=14.0.1,pyarrow<16,>=2 and datasets 2.21.0 requires pyarrow>=15.0.0 | {
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"@sayakpaul please advice "
] | 2024-08-20T08:13:55 | 2024-08-20T08:14:25 | null | NONE | null | null | null | ### Describe the bug
!pip install accelerate>=0.16.0 torchvision transformers>=4.25.1 datasets>=2.19.1 ftfy tensorboard Jinja2 peft==0.7.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
c... | {
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https://api.github.com/repos/huggingface/datasets/issues/7111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7111/comments | https://api.github.com/repos/huggingface/datasets/issues/7111/events | https://github.com/huggingface/datasets/issues/7111 | 2,474,915,845 | I_kwDODunzps6ThDgF | 7,111 | CI is broken for numpy-2: Failed to fetch wheel: llvmlite==0.34.0 | {
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"Note that the CI before was using:\r\n- llvmlite: 0.43.0\r\n- numba: 0.60.0\r\n\r\nNow it tries to use:\r\n- llvmlite: 0.34.0\r\n- numba: 0.51.2",
"The issue is because numba-0.60.0 pins numpy<2.1 and `uv` tries to install latest numpy-2.1.0 with an old numba-0.51.0 version (and llvmlite-0.34.0). See discussion ... | 2024-08-20T07:27:28 | 2024-08-21T05:05:36 | 2024-08-20T09:02:36 | MEMBER | null | null | null | Ci is broken with error `Failed to fetch wheel: llvmlite==0.34.0`: https://github.com/huggingface/datasets/actions/runs/10466825281/job/28984414269
```
Run uv pip install --system "datasets[tests_numpy2] @ ."
Resolved 150 packages in 4.42s
error: Failed to prepare distributions
Caused by: Failed to fetch wheel: ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7110 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7110/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7110/comments | https://api.github.com/repos/huggingface/datasets/issues/7110/events | https://github.com/huggingface/datasets/pull/7110 | 2,474,747,695 | PR_kwDODunzps54zz3r | 7,110 | Fix ConnectionError for gated datasets and unauthenticated users | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7110). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Note that the CI error is unrelated to this PR and should be addressed in another PR. S... | 2024-08-20T05:26:54 | 2024-08-20T15:11:35 | 2024-08-20T09:14:35 | MEMBER | null | 0 | {
"diff_url": "https://github.com/huggingface/datasets/pull/7110.diff",
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix `ConnectionError` for gated datasets and unauthenticated users. See:
- https://github.com/huggingface/dataset-viewer/issues/3025
Note that a recent change in the Hub returns dataset info for gated datasets and unauthenticated users, instead of raising a `GatedRepoError` as before. See:
- https://github.com/hug... | {
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https://api.github.com/repos/huggingface/datasets/issues/7109 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7109/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7109/comments | https://api.github.com/repos/huggingface/datasets/issues/7109/events | https://github.com/huggingface/datasets/issues/7109 | 2,473,367,848 | I_kwDODunzps6TbJko | 7,109 | ConnectionError for gated datasets and unauthenticated users | {
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We should remove the dead code and properly handle this case: currently we are raising a `Connect... | {
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https://api.github.com/repos/huggingface/datasets/issues/7108 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7108/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7108/comments | https://api.github.com/repos/huggingface/datasets/issues/7108/events | https://github.com/huggingface/datasets/issues/7108 | 2,470,665,327 | I_kwDODunzps6TQ1xv | 7,108 | website broken: Create a new dataset repository, doesn't create a new repo in Firefox | {
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"I don't reproduce, I was able to create a new repo: https://huggingface.co/datasets/severo/reproduce-datasets-issues-7108. Can you confirm it's still broken?",
"I have just tried again.\r\n\r\nFirefox: The `Create dataset` doesn't work. It has worked in the past. It's my preferred browser.\r\n\r\nChrome: The `Cr... | 2024-08-16T17:23:00 | 2024-08-19T13:21:12 | 2024-08-19T06:52:48 | NONE | null | null | null | ### Describe the bug
This issue is also reported here:
https://discuss.huggingface.co/t/create-a-new-dataset-repository-broken-page/102644
This page is broken.
https://huggingface.co/new-dataset
I fill in the form with my text, and click `Create Dataset`.
`
used to work till 2.20.0 but doesn't work in 2.21.0
In 2.20.0:
. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-08-16T09:12:04 | 2024-08-26T04:31:59 | 2024-08-26T04:26:02 | MEMBER | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Rename `LargeList.dtype` to `LargeList.feature`.
Note that `dtype` is usually used for NumPy data types ("int64", "float32",...): see `Value.dtype`.
However, `LargeList` attribute (like `Sequence.feature`) expects a `FeatureType` instead.
With this renaming:
- we avoid confusion about the expected type and
-... | {
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https://api.github.com/repos/huggingface/datasets/issues/7105 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7105/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7105/comments | https://api.github.com/repos/huggingface/datasets/issues/7105/events | https://github.com/huggingface/datasets/pull/7105 | 2,468,207,039 | PR_kwDODunzps54eZ0D | 7,105 | Use `huggingface_hub` cache | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7105). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Nice\r\n\r\n<img width=\"141\" alt=\"Capture d’écran 2024-08-19 à 15 25 00\" src=\"ht... | 2024-08-15T14:45:22 | 2024-09-02T14:10:39 | 2024-08-21T15:47:16 | MEMBER | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | - use `hf_hub_download()` from `huggingface_hub` for HF files
- `datasets` cache_dir is still used for:
- caching datasets as Arrow files (that back `Dataset` objects)
- extracted archives, uncompressed files
- files downloaded via http (datasets with scripts)
- I removed code that were made for http files (... | {
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https://api.github.com/repos/huggingface/datasets/issues/7104 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7104/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7104/comments | https://api.github.com/repos/huggingface/datasets/issues/7104/events | https://github.com/huggingface/datasets/pull/7104 | 2,467,788,212 | PR_kwDODunzps54dAhE | 7,104 | remove more script docs | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7104). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-08-15T10:13:26 | 2024-08-15T10:24:13 | 2024-08-15T10:18:25 | MEMBER | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7103 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7103/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7103/comments | https://api.github.com/repos/huggingface/datasets/issues/7103/events | https://github.com/huggingface/datasets/pull/7103 | 2,467,664,581 | PR_kwDODunzps54clrp | 7,103 | Fix args of feature docstrings | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7103). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-08-15T08:46:08 | 2024-08-16T09:18:29 | 2024-08-15T10:33:30 | MEMBER | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix Args section of feature docstrings.
Currently, some args do not appear in the docs because they are not properly parsed due to the lack of their type (between parentheses). | {
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https://api.github.com/repos/huggingface/datasets/issues/7102 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7102/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7102/comments | https://api.github.com/repos/huggingface/datasets/issues/7102/events | https://github.com/huggingface/datasets/issues/7102 | 2,466,893,106 | I_kwDODunzps6TCc0y | 7,102 | Slow iteration speeds when using IterableDataset.shuffle with load_dataset(data_files=..., streaming=True) | {
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"Hi @lajd , I was skeptical about how we are saving the shards each as their own dataset (arrow file) in the script above, and so I updated the script to try out saving the shards in a few different file formats. From the experiments I ran, I saw binary format show significantly the best performance, with arrow a... | 2024-08-14T21:44:44 | 2024-08-15T16:17:31 | null | NONE | null | null | null | ### Describe the bug
When I load a dataset from a number of arrow files, as in:
```
random_dataset = load_dataset(
"arrow",
data_files={split: shard_filepaths},
streaming=True,
split=split,
)
```
I'm able to get fast iteration speeds when iterating over the dataset without shuffling.
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7101 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7101/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7101/comments | https://api.github.com/repos/huggingface/datasets/issues/7101/events | https://github.com/huggingface/datasets/issues/7101 | 2,466,510,783 | I_kwDODunzps6TA_e_ | 7,101 | `load_dataset` from Hub with `name` to specify `config` using incorrect builder type when multiple data formats are present | {
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"Having looked into this further it seems the core of the issue is with two different formats in the same repo.\r\n\r\nWhen the `parquet` config is first, the `WebDataset`s are loaded as `parquet`, if the `WebDataset` configs are first, the `parquet` is loaded as `WebDataset`.\r\n\r\nA workaround in my case would b... | 2024-08-14T18:12:25 | 2024-08-18T10:33:38 | null | NONE | null | null | null | Following [documentation](https://huggingface.co/docs/datasets/repository_structure#define-your-splits-and-subsets-in-yaml) I had defined different configs for [`Dataception`](https://huggingface.co/datasets/bigdata-pw/Dataception), a dataset of datasets:
```yaml
configs:
- config_name: dataception
data_files:
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7100 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7100/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7100/comments | https://api.github.com/repos/huggingface/datasets/issues/7100/events | https://github.com/huggingface/datasets/issues/7100 | 2,465,529,414 | I_kwDODunzps6S9P5G | 7,100 | IterableDataset: cannot resolve features from list of numpy arrays | {
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when resolve features of `IterableDataset`, got `pyarrow.lib.ArrowInvalid: Can only convert 1-dimensional array values` error.
```
Traceback (most recent call last):
File "test.py", line 6
iter_ds = iter_ds._resolve_features()
File "lib/python3.10/site-packages/datasets/iterable_dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/7099 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7099/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7099/comments | https://api.github.com/repos/huggingface/datasets/issues/7099/events | https://github.com/huggingface/datasets/pull/7099 | 2,465,221,827 | PR_kwDODunzps54U7s4 | 7,099 | Set dev version | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7099). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-08-14T08:31:17 | 2024-08-14T08:45:17 | 2024-08-14T08:39:25 | MEMBER | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7098 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7098/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7098/comments | https://api.github.com/repos/huggingface/datasets/issues/7098/events | https://github.com/huggingface/datasets/pull/7098 | 2,465,016,562 | PR_kwDODunzps54UPMS | 7,098 | Release: 2.21.0 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7098). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2024-08-14T06:35:13 | 2024-08-14T06:41:07 | 2024-08-14T06:41:06 | MEMBER | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7097 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7097/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7097/comments | https://api.github.com/repos/huggingface/datasets/issues/7097/events | https://github.com/huggingface/datasets/issues/7097 | 2,458,455,489 | I_kwDODunzps6SiQ3B | 7,097 | Some of DownloadConfig's properties are always being overridden in load.py | {
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The `extract_compressed_file` and `force_extract` properties of DownloadConfig are always being set to True in the function `dataset_module_factory` in the `load.py` file. This behavior is very annoying because data extracted will just be ignored the next time the dataset is loaded.
See this im... | {
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https://api.github.com/repos/huggingface/datasets/issues/7096 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7096/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7096/comments | https://api.github.com/repos/huggingface/datasets/issues/7096/events | https://github.com/huggingface/datasets/pull/7096 | 2,456,929,173 | PR_kwDODunzps535Xkr | 7,096 | Automatically create `cache_dir` from `cache_file_name` | {
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"Hi @albertvillanova, is this PR looking okay to you? Anything else you'd like to see?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7096). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",... | 2024-08-09T01:34:06 | 2024-08-15T17:25:26 | 2024-08-15T10:13:22 | CONTRIBUTOR | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | You get a pretty unhelpful error message when specifying a `cache_file_name` in a directory that doesn't exist, e.g. `cache_file_name="./cache/data.map"`
```python
import datasets
cache_file_name="./cache/train.map"
dataset = datasets.load_dataset("ylecun/mnist")
dataset["train"].map(lambda x: x, cache_file_na... | {
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https://api.github.com/repos/huggingface/datasets/issues/7094 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7094/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7094/comments | https://api.github.com/repos/huggingface/datasets/issues/7094/events | https://github.com/huggingface/datasets/pull/7094 | 2,454,418,130 | PR_kwDODunzps53w2b7 | 7,094 | Add Arabic Docs to Datasets | {
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} | Translate Docs into Arabic issue-number : #7093
[Arabic Docs](https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx)
[English Docs](https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/en/index.mdx)
@stevhliu | {
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] | open | false | null | [] | null | [] | 2024-08-07T21:48:05 | 2024-08-07T21:48:05 | null | NONE | null | null | null | ### Feature request
Add Arabic Docs to datasets
[Datasets Arabic](https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx)
### Motivation
@AhmedAlmaghz
https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx
### Your contribution
@AhmedAlmaghz
https://github.com/AhmedAlma... | {
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"I’ll take a look",
"Possible definitions of done for this issue:\r\n\r\n1. A fix so you can load your dataset specifically\r\n2. A general fix for datasets similar to this in the `datasets` library\r\n\r\nOption 1 is trivial. I think option 2 requires significant changes to the library.\r\n\r\nSince you outlined... | 2024-08-06T17:42:55 | 2024-08-08T16:35:01 | null | NONE | null | null | null | ### Describe the bug
likely related to #6460
using `datasets.load_dataset("json", data_dir= ... )` with multiple `.jsonl` files will error if one of the files (maybe the first file?) contains a full column of empty data.
### Steps to reproduce the bug
real world example:
data is available in this [PR-bra... | {
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Tests should use the same pythin path as they are launched with, which in the case of FreeBSD is /usr/local/bin/python3.11
Failure:
```
if err_filename is not None:
> raise child_exception_type(errno_num, err_msg, err_filename)
E FileNotFo... | {
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https://api.github.com/repos/huggingface/datasets/issues/7089 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7089/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7089/comments | https://api.github.com/repos/huggingface/datasets/issues/7089/events | https://github.com/huggingface/datasets/issues/7089 | 2,449,479,500 | I_kwDODunzps6SABdM | 7,089 | Missing pyspark dependency causes the testsuite to error out, instead of a few tests to be skipped | {
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see the subject
### Steps to reproduce the bug
regular tests
### Expected behavior
n/a
### Environment info
version 2.20.0 | {
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] | open | false | null | [] | null | [] | 2024-08-05T00:45:50 | 2024-08-05T00:45:50 | null | NONE | null | null | null | ### Feature request
If we write this code:
```python
"""Get data and define datasets."""
from enum import StrEnum
from datasets import load_dataset
from torch.utils.data import DataLoader
from torchvision import transforms
class Split(StrEnum):
"""Describes what type of split to use in the dataloa... | {
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"Thanks for reporting.\r\n\r\nIt is weird, because the language entry is in the list. See: https://github.com/huggingface/huggingface.js/blob/98e32f0ed4ee057a596f66a1dec738e5db9643d5/packages/languages/src/languages_iso_639_3.ts#L15186-L15189\r\n\r\nI have reported the issue:\r\n- https://github.com/huggingface/hug... | 2024-08-04T14:27:04 | 2024-08-06T06:59:23 | 2024-08-06T06:59:22 | NONE | null | null | null | ### Feature request
While I was creating the dataset which contained all documents from the Lushootseed Wikipedia, the dataset card asked me to enter which language the dataset was in. Since Lushootseed is a critically endangered language, it was not available as one of the options. Is it possible to allow entering la... | {
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I have been running lm-eval-harness a lot which has results in an API rate limit. This seems strange, since all of the data should be cached locally. I have in fact verified this.
### Steps to reproduce the bug
1. Be Me
2. Run `load_dataset("TAUR-Lab/MuSR")`
3. Hit rate limit error
4. Dataset... | {
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"@lhoestq I detected this regression over on [DataDreamer](https://github.com/datadreamer-dev/DataDreamer)'s test suite. I put in these [monkey patches](https://github.com/datadreamer-dev/DataDreamer/blob/4cbaf9f39cf7bedde72bbaa68346e169788fbecb/src/_patches/datasets_reset_state_hack.py) in case that fixed it our t... | 2024-07-31T13:01:59 | 2024-08-22T14:49:37 | 2024-08-22T14:49:07 | NONE | null | null | null | ### Describe the bug
In the latest version of datasets there is a major regression, after creating an `IterableDataset` from a generator and applying a few operations (`map`, `select`), you can no longer iterate through the dataset multiple times.
The issue seems to stem from the recent addition of "resumable Itera... | {
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Simplify downloading and streaming datasets locally. Specifically, perhaps add an option to `load_dataset(..., streaming="download_first")` or add better support for streaming symlinked or arrow files.
### Motivation
I have downloaded FineWeb-edu locally and currently trying to stream the d... | {
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https://api.github.com/repos/huggingface/datasets/issues/7082 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7082/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7082/comments | https://api.github.com/repos/huggingface/datasets/issues/7082/events | https://github.com/huggingface/datasets/pull/7082 | 2,437,354,975 | PR_kwDODunzps522dTJ | 7,082 | Support HTTP authentication in non-streaming mode | {
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- Note that currently, HTTP authentication is supported only in streaming mode.
For example, this is necessary if a remote HTTP host requires authentication to download the data. | {
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https://api.github.com/repos/huggingface/datasets/issues/7081 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7081/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7081/comments | https://api.github.com/repos/huggingface/datasets/issues/7081/events | https://github.com/huggingface/datasets/pull/7081 | 2,437,059,657 | PR_kwDODunzps521cGm | 7,081 | Set load_from_disk path type as PathLike | {
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https://api.github.com/repos/huggingface/datasets/issues/7080 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7080/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7080/comments | https://api.github.com/repos/huggingface/datasets/issues/7080/events | https://github.com/huggingface/datasets/issues/7080 | 2,434,275,664 | I_kwDODunzps6RGBlQ | 7,080 | Generating train split takes a long time | {
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Loading a simple webdataset takes ~45 minutes.
### Steps to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset("PixArt-alpha/SAM-LLaVA-Captions10M")
```
### Expected behavior
The dataset should load immediately as it does when loaded through a normal indexed WebD... | {
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https://api.github.com/repos/huggingface/datasets/issues/7079 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7079/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7079/comments | https://api.github.com/repos/huggingface/datasets/issues/7079/events | https://github.com/huggingface/datasets/issues/7079 | 2,433,363,298 | I_kwDODunzps6RCi1i | 7,079 | HfHubHTTPError: 500 Server Error: Internal Server Error for url: | {
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"same issue here. @albertvillanova @lhoestq ",
"Also impacted by this issue in many of my datasets (though not all) - in my case, this also seems to affect datasets that have been updated recently. Git cloning and the web interface still work:\r\n- https://huggingface.co/api/datasets/acmc/cheat_reduced\r\n- https... | 2024-07-27T08:21:03 | 2024-07-27T20:06:44 | 2024-07-27T19:52:30 | NONE | null | null | null | ### Describe the bug
newly uploaded datasets, since yesterday, yields an error.
old datasets, works fine.
Seems like the datasets api server returns a 500
I'm getting the same error, when I invoke `load_dataset` with my dataset.
Long discussion about it here, but I'm not sure anyone from huggingface have s... | {
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https://api.github.com/repos/huggingface/datasets/issues/7078 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7078/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7078/comments | https://api.github.com/repos/huggingface/datasets/issues/7078/events | https://github.com/huggingface/datasets/pull/7078 | 2,433,270,271 | PR_kwDODunzps52oq4n | 7,078 | Fix CI test_convert_to_parquet | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7078). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-27T05:32:40 | 2024-07-27T05:50:57 | 2024-07-27T05:44:32 | MEMBER | null | 0 | {
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- #7074 | {
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https://api.github.com/repos/huggingface/datasets/issues/7077 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7077/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7077/comments | https://api.github.com/repos/huggingface/datasets/issues/7077/events | https://github.com/huggingface/datasets/issues/7077 | 2,432,345,489 | I_kwDODunzps6Q-qWR | 7,077 | column_names ignored by load_dataset() when loading CSV file | {
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"I confirm that `column_names` values are not copied to `names` variable because in this case `CsvConfig.__post_init__` is not called: `CsvConfig` is instantiated with default values and afterwards the `config_kwargs` are used to overwrite its attributes.\r\n\r\n@luismsgomes in the meantime, you can avoid the bug i... | 2024-07-26T14:18:04 | 2024-07-30T07:52:26 | null | NONE | null | null | null | ### Describe the bug
load_dataset() ignores the column_names kwarg when loading a CSV file. Instead, it uses whatever values are on the first line of the file.
### Steps to reproduce the bug
Call `load_dataset` to load data from a CSV file and specify `column_names` kwarg.
### Expected behavior
The resulting da... | {
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https://api.github.com/repos/huggingface/datasets/issues/7076 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7076/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7076/comments | https://api.github.com/repos/huggingface/datasets/issues/7076/events | https://github.com/huggingface/datasets/pull/7076 | 2,432,275,393 | PR_kwDODunzps52lTDe | 7,076 | 🧪 Do not mock create_commit | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7076). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2024-07-26T13:44:42 | 2024-07-27T05:48:17 | 2024-07-27T05:48:17 | MEMBER | null | 1 | {
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https://api.github.com/repos/huggingface/datasets/issues/7075 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7075/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7075/comments | https://api.github.com/repos/huggingface/datasets/issues/7075/events | https://github.com/huggingface/datasets/pull/7075 | 2,432,027,412 | PR_kwDODunzps52kciD | 7,075 | Update required soxr version from pre-release to release | {
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https://api.github.com/repos/huggingface/datasets/issues/7074 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7074/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7074/comments | https://api.github.com/repos/huggingface/datasets/issues/7074/events | https://github.com/huggingface/datasets/pull/7074 | 2,431,772,703 | PR_kwDODunzps52jkw4 | 7,074 | Fix CI by temporarily marking test_convert_to_parquet as expected to fail | {
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Fix #7073.
Revert once root cause is fixed. | {
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https://api.github.com/repos/huggingface/datasets/issues/7073 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7073/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7073/comments | https://api.github.com/repos/huggingface/datasets/issues/7073/events | https://github.com/huggingface/datasets/issues/7073 | 2,431,706,568 | I_kwDODunzps6Q8OXI | 7,073 | CI is broken for convert_to_parquet: Invalid rev id: refs/pr/1 404 error causes RevisionNotFoundError | {
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"Any recent change in the API backend rejecting parameter `revision=\"refs/pr/1\"` to `HfApi.preupload_lfs_files`?\r\n```\r\nf\"{endpoint}/api/{repo_type}s/{repo_id}/preupload/{revision}\"\r\n\r\nhttps://hub-ci.huggingface.co/api/datasets/__DUMMY_TRANSFORMERS_USER__/test-dataset-5188a8-17219154347516/preupload/refs... | 2024-07-26T08:27:41 | 2024-07-27T05:48:02 | 2024-07-26T09:16:13 | MEMBER | null | null | null | See: https://github.com/huggingface/datasets/actions/runs/10095313567/job/27915185756
```
FAILED tests/test_hub.py::test_convert_to_parquet - huggingface_hub.utils._errors.RevisionNotFoundError: 404 Client Error. (Request ID: Root=1-66a25839-31ce7b475e70e7db1e4d44c2;b0c8870f-d5ef-4bf2-a6ff-0191f3df0f64)
Revision N... | {
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https://api.github.com/repos/huggingface/datasets/issues/7071 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7071/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7071/comments | https://api.github.com/repos/huggingface/datasets/issues/7071/events | https://github.com/huggingface/datasets/issues/7071 | 2,430,313,011 | I_kwDODunzps6Q26Iz | 7,071 | Filter hangs | {
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... | [] | open | false | null | [] | null | [] | 2024-07-25T15:29:05 | 2024-07-25T15:36:59 | null | NONE | null | null | null | ### Describe the bug
When trying to filter my custom dataset, the process hangs, regardless of the lambda function used. It appears to be an issue with the way the Images are being handled. The dataset in question is a preprocessed version of https://huggingface.co/datasets/danaaubakirova/patfig where notably, I hav... | {
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https://api.github.com/repos/huggingface/datasets/issues/7070 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7070/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7070/comments | https://api.github.com/repos/huggingface/datasets/issues/7070/events | https://github.com/huggingface/datasets/issues/7070 | 2,430,285,235 | I_kwDODunzps6Q2zWz | 7,070 | how set_transform affects batch size? | {
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I am trying to fine-tune w2v-bert for ASR task. Since my dataset is so big, I preferred to use the on-the-fly method with set_transform. So i change the preprocessing function to this:
```
def prepare_dataset(batch):
input_features = processor(batch["audio"], sampling_rate=16000).input_feat... | {
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https://api.github.com/repos/huggingface/datasets/issues/7069 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7069/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7069/comments | https://api.github.com/repos/huggingface/datasets/issues/7069/events | https://github.com/huggingface/datasets/pull/7069 | 2,429,281,339 | PR_kwDODunzps52betB | 7,069 | Fix push_to_hub by not calling create_branch if PR branch | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7069). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"cc @Wauplin maybe it's a `huggingface_hub` bug ?\r\n\r\nEDIT: ah actually the issue is ... | 2024-07-25T07:50:04 | 2024-07-31T07:10:07 | 2024-07-30T10:51:01 | MEMBER | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix push_to_hub by not calling create_branch if PR branch (e.g. `refs/pr/1`).
Note that currently create_branch raises a 400 Bad Request error if the user passes a PR branch (e.g. `refs/pr/1`).
EDIT:
~~Fix push_to_hub by not calling create_branch if branch exists.~~
Note that currently create_branch raises a ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7068 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7068/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7068/comments | https://api.github.com/repos/huggingface/datasets/issues/7068/events | https://github.com/huggingface/datasets/pull/7068 | 2,426,657,434 | PR_kwDODunzps52SwXS | 7,068 | Fix prepare_single_hop_path_and_storage_options | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7068). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-24T05:52:34 | 2024-07-29T07:02:07 | 2024-07-29T06:56:15 | MEMBER | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix `_prepare_single_hop_path_and_storage_options`:
- Do not pass HF authentication headers and HF user-agent to non-HF HTTP URLs
- Do not overwrite passed `storage_options` nested values:
- Before, when passed
```DownloadConfig(storage_options={"https": {"client_kwargs": {"raise_for_status": True}}})```,
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7067 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7067/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7067/comments | https://api.github.com/repos/huggingface/datasets/issues/7067/events | https://github.com/huggingface/datasets/issues/7067 | 2,425,460,168 | I_kwDODunzps6QkZXI | 7,067 | Convert_to_parquet fails for datasets with multiple configs | {
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"Many users have encountered the same issue, which has caused inconvenience.\r\n\r\nhttps://discuss.huggingface.co/t/convert-to-parquet-fails-for-datasets-with-multiple-configs/86733\r\n",
"Thanks for reporting.\r\n\r\nI will make the code more robust.",
"I have opened an issue in the huggingface-hub repo:\r\n-... | 2024-07-23T15:09:33 | 2024-07-30T10:51:02 | 2024-07-30T10:51:02 | NONE | null | null | null | If the dataset has multiple configs, when using the `datasets-cli convert_to_parquet` command to avoid issues with the data viewer caused by loading scripts, the conversion process only successfully converts the data corresponding to the first config. When it starts converting the second config, it throws an error:
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7066 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7066/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7066/comments | https://api.github.com/repos/huggingface/datasets/issues/7066/events | https://github.com/huggingface/datasets/issues/7066 | 2,425,125,160 | I_kwDODunzps6QjHko | 7,066 | One subset per file in repo ? | {
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```
single_subset_dataset/
├── train0.jsonl
├── train1.jsonl
└── train2.jsonl
```
but in cases like this, each file is actually a different subset of the dataset and should be loaded separately
```
many_subsets_dataset/
├── animals.jso... | {
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https://api.github.com/repos/huggingface/datasets/issues/7065 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7065/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7065/comments | https://api.github.com/repos/huggingface/datasets/issues/7065/events | https://github.com/huggingface/datasets/issues/7065 | 2,424,734,953 | I_kwDODunzps6QhoTp | 7,065 | Cannot get item after loading from disk and then converting to iterable. | {
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The dataset generated from local file works fine.
```py
root = "/home/data/train"
file_list1 = glob(os.path.join(root, "*part1.flac"))
file_list2 = glob(os.path.join(root, "*part2.flac"))
ds = (
Dataset.from_dict({"part1": file_list1, "part2": file_list2})
.cast_column("part1", Au... | {
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https://api.github.com/repos/huggingface/datasets/issues/7064 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7064/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7064/comments | https://api.github.com/repos/huggingface/datasets/issues/7064/events | https://github.com/huggingface/datasets/pull/7064 | 2,424,613,104 | PR_kwDODunzps52Lz2- | 7,064 | Add `batch` method to `Dataset` class | {
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"Looks good to me ! :)\r\n\r\nyou might want to add the `map` num_proc argument as well, for people who want to make it run faster",
"Thanks for the feedback @lhoestq! The last commits include:\r\n- Adding the `num_proc` parameter to `batch`\r\n- Adding tests similar to the one done for `IterableDataset.batch()`\... | 2024-07-23T08:40:43 | 2024-07-25T13:51:25 | 2024-07-25T13:45:20 | CONTRIBUTOR | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR introduces a new `batch` method to the `Dataset` class, aligning its functionality with the `IterableDataset.batch()` method (implemented in #7054). The implementation uses as well the existing `map` method for efficient batching of examples.
Key changes:
- Add `batch` method to `Dataset` class in `arrow_da... | {
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https://api.github.com/repos/huggingface/datasets/issues/7063 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7063/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7063/comments | https://api.github.com/repos/huggingface/datasets/issues/7063/events | https://github.com/huggingface/datasets/issues/7063 | 2,424,488,648 | I_kwDODunzps6QgsLI | 7,063 | Add `batch` method to `Dataset` | {
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] | closed | false | null | [] | null | [] | 2024-07-23T07:36:59 | 2024-07-25T13:45:21 | 2024-07-25T13:45:21 | CONTRIBUTOR | null | null | null | ### Feature request
Add a `batch` method to the Dataset class, similar to the one recently implemented for `IterableDataset` in PR #7054.
### Motivation
A batched iteration speeds up data loading significantly (see e.g. #6279)
### Your contribution
I plan to open a PR to implement this. | {
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https://api.github.com/repos/huggingface/datasets/issues/7062 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7062/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7062/comments | https://api.github.com/repos/huggingface/datasets/issues/7062/events | https://github.com/huggingface/datasets/pull/7062 | 2,424,467,484 | PR_kwDODunzps52LUPR | 7,062 | Avoid calling http_head for non-HTTP URLs | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7062). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-23T07:25:09 | 2024-07-23T14:28:27 | 2024-07-23T14:21:08 | MEMBER | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Avoid calling `http_head` for non-HTTP URLs, by adding and `else` statement.
Currently, it makes an unnecessary HTTP call (which adds latency) for non-HTTP protocols, like FTP, S3,...
I discovered this while working in an unrelated issue. | {
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https://api.github.com/repos/huggingface/datasets/issues/7061 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7061/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7061/comments | https://api.github.com/repos/huggingface/datasets/issues/7061/events | https://github.com/huggingface/datasets/issues/7061 | 2,423,786,881 | I_kwDODunzps6QeA2B | 7,061 | Custom Dataset | Still Raise Error while handling errors in _generate_examples | {
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I follow this [example](https://discuss.huggingface.co/t/error-handling-in-iterabledataset/72827/3) to handle errors in custom dataset. I am writing a dataset script which read jsonl files and i need to handle errors and continue reading files without raising exception and exit the execution.
`... | {
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https://api.github.com/repos/huggingface/datasets/issues/7060 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7060/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7060/comments | https://api.github.com/repos/huggingface/datasets/issues/7060/events | https://github.com/huggingface/datasets/pull/7060 | 2,423,188,419 | PR_kwDODunzps52G71g | 7,060 | WebDataset BuilderConfig | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7060). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2024-07-22T15:41:07 | 2024-07-23T13:28:44 | 2024-07-23T13:28:44 | NONE | null | 0 | {
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} | This PR adds `WebDatasetConfig`.
Closes #7055 | {
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https://api.github.com/repos/huggingface/datasets/issues/7059 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7059/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7059/comments | https://api.github.com/repos/huggingface/datasets/issues/7059/events | https://github.com/huggingface/datasets/issues/7059 | 2,422,827,892 | I_kwDODunzps6QaWt0 | 7,059 | None values are skipped when reading jsonl in subobjects | {
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... | [] | open | false | null | [] | null | [] | 2024-07-22T13:02:42 | 2024-07-22T13:02:53 | null | NONE | null | null | null | ### Describe the bug
I have been fighting against my machine since this morning only to find out this is some kind of a bug.
When loading a dataset composed of `metadata.jsonl`, if you have nullable values (Optional[str]), they can be ignored by the parser, shifting things around.
E.g., let's take this example
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7058 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7058/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7058/comments | https://api.github.com/repos/huggingface/datasets/issues/7058/events | https://github.com/huggingface/datasets/issues/7058 | 2,422,560,355 | I_kwDODunzps6QZVZj | 7,058 | New feature type: Document | {
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https://github.com/huggingface/dataset-viewer/issues/2991#issuecomment-2242656069 | {
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https://api.github.com/repos/huggingface/datasets/issues/7057 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7057/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7057/comments | https://api.github.com/repos/huggingface/datasets/issues/7057/events | https://github.com/huggingface/datasets/pull/7057 | 2,422,498,520 | PR_kwDODunzps52EjGC | 7,057 | Update load_hub.mdx | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7057). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-22T10:17:46 | 2024-07-22T10:34:14 | 2024-07-22T10:28:10 | CONTRIBUTOR | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/7056 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7056/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7056/comments | https://api.github.com/repos/huggingface/datasets/issues/7056/events | https://github.com/huggingface/datasets/pull/7056 | 2,422,192,257 | PR_kwDODunzps52DgOu | 7,056 | Make `BufferShuffledExamplesIterable` resumable | {
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"Oh cool !\r\n\r\nThe time it takes to resume depends on the expected maximum distance in this case right ? Do you know its relationship with $B$ ?\r\n\r\nIn your test it already as high as 15k for $B=1024$, which is ok for text datasets but is maybe not ideal for datasets with heavy samples like audio/image/video ... | 2024-07-22T07:50:02 | 2024-07-22T15:37:01 | null | CONTRIBUTOR | null | 0 | {
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} | This PR aims to implement a resumable `BufferShuffledExamplesIterable`.
Instead of saving the entire buffer content, which is very memory-intensive, the newly implemented `BufferShuffledExamplesIterable` saves only the minimal state necessary for recovery, e.g., the random generator states and the state of the first e... | {
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https://api.github.com/repos/huggingface/datasets/issues/7055 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7055/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7055/comments | https://api.github.com/repos/huggingface/datasets/issues/7055/events | https://github.com/huggingface/datasets/issues/7055 | 2,421,708,891 | I_kwDODunzps6QWFhb | 7,055 | WebDataset with different prefixes are unsupported | {
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"Since `datasets` uses is built on Arrow to store the data, it requires each sample to have the same columns.\r\n\r\nThis can be fixed by specifyign in advance the name of all the possible columns in the `dataset_info` in YAML, and missing values will be `None`",
"Thanks. This currently doesn't work for WebDatase... | 2024-07-22T01:14:19 | 2024-07-24T13:26:30 | 2024-07-23T13:28:46 | NONE | null | null | null | ### Describe the bug
Consider a WebDataset with multiple images for each item where the number of images may vary: [example](https://huggingface.co/datasets/bigdata-pw/fashion-150k)
Due to this [code](https://github.com/huggingface/datasets/blob/87f4c2088854ff33e817e724e75179e9975c1b02/src/datasets/packaged_modules... | {
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https://api.github.com/repos/huggingface/datasets/issues/7054 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7054/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7054/comments | https://api.github.com/repos/huggingface/datasets/issues/7054/events | https://github.com/huggingface/datasets/pull/7054 | 2,418,548,995 | PR_kwDODunzps514T1f | 7,054 | Add batching to `IterableDataset` | {
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"Cool ! Thanks for diving into it :)\r\n\r\nYour implementation is great and indeed supports shuffling and batching, you just need to additionally account for state_dict (for dataset [checkpointing+resuming](https://huggingface.co/docs/datasets/main/en/use_with_pytorch#checkpoint-and-resume))\r\n\r\nThat being said... | 2024-07-19T10:11:47 | 2024-07-23T13:25:13 | 2024-07-23T10:34:28 | CONTRIBUTOR | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | I've taken a try at implementing a batched `IterableDataset` as requested in issue #6279. This PR adds a new `BatchedExamplesIterable` class and a `.batch()` method to the `IterableDataset` class.
The main changes are:
1. A new `BatchedExamplesIterable` that groups examples into batches.
2. A `.batch()` method for... | {
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"Hi,\r\n\r\nThis issue was fixed in `datasets` 2.15.0:\r\n- #6105\r\n\r\nYou will need to update your `datasets`:\r\n```\r\npip install -U datasets\r\n```",
"Duplicate of:\r\n- #6100"
] | 2024-07-18T13:42:35 | 2024-07-18T15:17:42 | 2024-07-18T15:16:18 | NONE | null | null | null | ### Describe the bug
in data_files.py, line 332,
`fs, _, _ = get_fs_token_paths(pattern, storage_options=storage_options)`
If we run the code on AWS, as fs.protocol will be a tuple like: `('file', 'local')`
So, `isinstance(fs.protocol, str) == False` and
`protocol_prefix = fs.protocol + "://" if fs.protocol != ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7052 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7052/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7052/comments | https://api.github.com/repos/huggingface/datasets/issues/7052/events | https://github.com/huggingface/datasets/pull/7052 | 2,411,682,730 | PR_kwDODunzps51iuop | 7,052 | Adding `Music` feature for symbolic music modality (MIDI, abc) | {
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} | ⚠️ (WIP) ⚠️
### What this PR does
This PR adds a `Music` feature for the symbolic music modality, in particular [MIDI](https://en.wikipedia.org/wiki/Musical_Instrument_Digital_Interface) and [abc](https://en.wikipedia.org/wiki/ABC_notation) files.
### Motivations
These two file formats are widely used in th... | {
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"This is not possible right now afaik :/\r\n\r\nMaybe we could have something like this ? wdyt ?\r\n\r\n```python\r\nds = interleave_datasets(\r\n [shuffled_dataset_a, dataset_b],\r\n probabilities=probabilities,\r\n stopping_strategy='all_exhausted',\r\n reshuffle_each_iteration=True,\r\n)",
"That wo... | 2024-07-15T18:24:52 | 2024-08-05T20:58:04 | 2024-08-05T20:58:04 | NONE | null | null | null | Let's say I have dataset A which has 100k examples, and dataset B which has 100m examples.
I want to train on an interleaved dataset of A+B, with stopping_strategy='all_exhausted' so dataset B doesn't repeat any examples. But every time A is exhausted I want it to be reshuffled (eg. calling set_epoch)
Of course I... | {
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https://api.github.com/repos/huggingface/datasets/issues/7050 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7050/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7050/comments | https://api.github.com/repos/huggingface/datasets/issues/7050/events | https://github.com/huggingface/datasets/pull/7050 | 2,409,048,733 | PR_kwDODunzps51Z1Yp | 7,050 | add checkpoint and resume title in docs | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7050). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-15T15:38:04 | 2024-07-15T16:06:15 | 2024-07-15T15:59:56 | MEMBER | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | (minor) just to make it more prominent in the docs page for the soon-to-be-released new torchdata | {
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"In addition, when I use `set_format ` and index the ds, the following error occurs:\r\nthe code\r\n```python\r\nds.set_format(type=\"np\", colums=\"pixel_values\")\r\n```\r\nerror\r\n<img width=\"918\" alt=\"image\" src=\"https://github.com/user-attachments/assets/b28bbff2-20ea-4d28-ab62-b4ed2d944996\">\r\n",
">... | 2024-07-15T11:36:11 | 2024-07-18T11:33:34 | 2024-07-18T11:33:34 | NONE | null | null | null | ### Describe the bug
When I use the `map` function to convert images into features, datasets saves nparray as a list. Some people use the `set_format` function to convert the column back, but doesn't this lose precision?
### Steps to reproduce the bug
the map function
```python
def convert_image_to_features(inst, ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7048 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7048/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7048/comments | https://api.github.com/repos/huggingface/datasets/issues/7048/events | https://github.com/huggingface/datasets/issues/7048 | 2,408,487,547 | I_kwDODunzps6Pjpp7 | 7,048 | ImportError: numpy.core.multiarray when using `filter` | {
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"Could you please check your `numpy` version?",
"I got this issue while using numpy version 2.0. \r\n\r\nI solved it by switching back to numpy 1.26.0 :) ",
"We recently added support for numpy 2.0, but it is not released yet.",
"Ok I see, thanks! I think we can close this issue for now as switching back to v... | 2024-07-15T11:21:04 | 2024-07-16T10:11:25 | 2024-07-16T10:11:25 | NONE | null | null | null | ### Describe the bug
I can't apply the filter method on my dataset.
### Steps to reproduce the bug
The following snippet generates a bug:
```python
from datasets import load_dataset
ami = load_dataset('kamilakesbi/ami', 'ihm')
ami['train'].filter(
lambda example: example["file_name"] == 'EN2001a'
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7047 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7047/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7047/comments | https://api.github.com/repos/huggingface/datasets/issues/7047/events | https://github.com/huggingface/datasets/issues/7047 | 2,406,495,084 | I_kwDODunzps6PcDNs | 7,047 | Save Dataset as Sharded Parquet | {
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"To anyone else who finds themselves in this predicament, it's possible to read the parquet file in the same way that datasets writes it, and then manually break it into pieces. Although, you need a couple of magic options (`thrift_*`) to deal with the huge metadata, otherwise pyarrow immediately crashes.\r\n```pyt... | 2024-07-12T23:47:51 | 2024-07-17T12:07:08 | null | NONE | null | null | null | ### Feature request
`to_parquet` currently saves the dataset as one massive, monolithic parquet file, rather than as several small parquet files. It should shard large datasets automatically.
### Motivation
This default behavior makes me very sad because a program I ran for 6 hours saved its results using `to_... | {
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https://api.github.com/repos/huggingface/datasets/issues/7046 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7046/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7046/comments | https://api.github.com/repos/huggingface/datasets/issues/7046/events | https://github.com/huggingface/datasets/pull/7046 | 2,405,485,582 | PR_kwDODunzps51N05n | 7,046 | Support librosa and numpy 2.0 for Python 3.10 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7046). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-12T12:42:47 | 2024-07-12T13:04:40 | 2024-07-12T12:58:17 | MEMBER | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Support librosa and numpy 2.0 for Python 3.10 by installing soxr 0.4.0b1 pre-release:
- https://github.com/dofuuz/python-soxr/releases/tag/v0.4.0b1
- https://github.com/dofuuz/python-soxr/issues/28 | {
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https://api.github.com/repos/huggingface/datasets/issues/7045 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7045/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7045/comments | https://api.github.com/repos/huggingface/datasets/issues/7045/events | https://github.com/huggingface/datasets/pull/7045 | 2,405,447,858 | PR_kwDODunzps51Nsie | 7,045 | Fix tensorflow min version depending on Python version | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7045). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-12T12:20:23 | 2024-07-12T12:38:53 | 2024-07-12T12:33:00 | MEMBER | null | 0 | {
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Related to:
- #6991 | {
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https://api.github.com/repos/huggingface/datasets/issues/7044 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7044/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7044/comments | https://api.github.com/repos/huggingface/datasets/issues/7044/events | https://github.com/huggingface/datasets/pull/7044 | 2,405,002,987 | PR_kwDODunzps51MLbh | 7,044 | Mark tests that require librosa | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7044). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-12T08:06:59 | 2024-07-12T09:06:32 | 2024-07-12T09:00:09 | MEMBER | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Mark tests that require `librosa`.
Note that `librosa` is an optional dependency (installed with `audio` option) and we should be able to test environments without that library installed. This is the case if we want to test Numpy 2.0, which is currently incompatible with `librosa` due to its dependency on `soxr`:
-... | {
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https://api.github.com/repos/huggingface/datasets/issues/7043 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7043/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7043/comments | https://api.github.com/repos/huggingface/datasets/issues/7043/events | https://github.com/huggingface/datasets/pull/7043 | 2,404,951,714 | PR_kwDODunzps51MAN0 | 7,043 | Add decorator as explicit test dependency | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7043). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-07-12T07:35:23 | 2024-07-12T08:12:55 | 2024-07-12T08:07:10 | MEMBER | null | 0 | {
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We use `decorator` library in our CI test since PR:
- #4845
However we did not add it as an explicit test requirement, and we depended on it indirectly through other libraries' dependencies.
I discovered this while testing Numpy 2.0 and removing incompatible librarie... | {
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https://api.github.com/repos/huggingface/datasets/issues/7042 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7042/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7042/comments | https://api.github.com/repos/huggingface/datasets/issues/7042/events | https://github.com/huggingface/datasets/pull/7042 | 2,404,605,836 | PR_kwDODunzps51K8CM | 7,042 | Improved the tutorial by adding a link for loading datasets | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | 2024-07-12T03:49:54 | 2024-08-15T10:07:44 | 2024-08-15T10:01:59 | CONTRIBUTOR | null | 0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Improved the tutorial by letting readers know about loading datasets with common files and including a link. I left the local files section alone because the methods were already listed with code snippets. | {
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https://api.github.com/repos/huggingface/datasets/issues/7041 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7041/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7041/comments | https://api.github.com/repos/huggingface/datasets/issues/7041/events | https://github.com/huggingface/datasets/issues/7041 | 2,404,576,038 | I_kwDODunzps6PUusm | 7,041 | `sort` after `filter` unreasonably slow | {
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"`filter` add an indices mapping on top of the dataset, so `sort` has to gather all the rows that are kept to form a new Arrow table and sort the table. Gathering all the rows can take some time, but is a necessary step. You can try calling `ds = ds.flatten_indices()` before sorting to remove the indices mapping."
... | 2024-07-12T03:29:27 | 2024-07-22T13:55:17 | null | NONE | null | null | null | ### Describe the bug
as the tittle says ...
### Steps to reproduce the bug
`sort` seems to be normal.
```python
from datasets import Dataset
import random
nums = [{"k":random.choice(range(0,1000))} for _ in range(100000)]
ds = Dataset.from_list(nums)
print("start sort")
ds = ds.sort("k")
print("f... | {
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https://api.github.com/repos/huggingface/datasets/issues/7040 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7040/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7040/comments | https://api.github.com/repos/huggingface/datasets/issues/7040/events | https://github.com/huggingface/datasets/issues/7040 | 2,402,918,335 | I_kwDODunzps6POZ-_ | 7,040 | load `streaming=True` dataset with downloaded cache | {
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"When you pass `streaming=True`, the cache is ignored. The remote data URL is used instead and the data is streamed from the remote server.",
"Thanks for your reply! So is there any solution to get my expected behavior besides clone the whole repo ? Or could I adjust my script to load the downloaded arrow files a... | 2024-07-11T11:14:13 | 2024-07-11T14:11:56 | null | NONE | null | null | null | ### Describe the bug
We build a dataset which contains several hdf5 files and write a script using `h5py` to generate the dataset. The hdf5 files are large and the processed dataset cache takes more disk space. So we hope to try streaming iterable dataset. Unfortunately, `h5py` can't convert a remote URL into a hdf5 f... | {
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https://api.github.com/repos/huggingface/datasets/issues/7039 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7039/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7039/comments | https://api.github.com/repos/huggingface/datasets/issues/7039/events | https://github.com/huggingface/datasets/pull/7039 | 2,402,403,390 | PR_kwDODunzps51DgCY | 7,039 | Fix export to JSON when dataset larger than batch size | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7039). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"The test before confirms the bug.\r\n\r\nThere are different possible solutions to this... | 2024-07-11T06:52:22 | 2024-07-11T07:27:58 | null | MEMBER | null | 1 | {
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} | Fix export to JSON (`files=False`) when dataset larger than batch size.
Fix #7037. | {
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