Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: TypeError
Message: timestamp() takes at least 1 positional argument (0 given)
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1029, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1004, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 604, in get_module
dataset_infos = DatasetInfosDict.from_dataset_card_data(dataset_card_data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 386, in from_dataset_card_data
dataset_info = DatasetInfo._from_yaml_dict(dataset_card_data["dataset_info"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/info.py", line 317, in _from_yaml_dict
yaml_data["features"] = Features._from_yaml_list(yaml_data["features"])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2045, in _from_yaml_list
return cls.from_dict(from_yaml_inner(yaml_data))
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2041, in from_yaml_inner
return {name: from_yaml_inner(_feature) for name, _feature in zip(names, obj)}
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2030, in from_yaml_inner
Value(obj["dtype"])
File "<string>", line 5, in __init__
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 549, in __post_init__
self.pa_type = string_to_arrow(self.dtype)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 150, in string_to_arrow
return pa.__dict__[datasets_dtype]()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/types.pxi", line 4183, in pyarrow.lib.timestamp
TypeError: timestamp() takes at least 1 positional argument (0 given)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Flowmatic Cleaned Dataset
Overview
This dataset was cleaned and exported by Flowmatic, an intelligent data preparation platform.
Pipeline Run ID: cmm1r1vow0004bt40plobjuj2
Generated: 2026-02-25T08:07:49.270Z
Dataset Statistics
- Total Records: 5
- Total Columns: 9
- File:
cleaned_data.csv
Column Information
| Column | Type | Non-Null | Null | Sample Values |
|---|---|---|---|---|
| Event_ID | timestamp | 5 | 0 | "1", "2", "3" |
| Timestamp | timestamp | 5 | 0 | "2024-09-13 13:10:48", "2024-10-19 14:34:09", "2024-11-24 18:52:58" |
| Vehicle_Type | text | 5 | 0 | "Bus", "Car", "Bus" |
| Speed_kmh | timestamp | 5 | 0 | "72", "4", "36" |
| Latitude | text | 5 | 0 | "51.101003", "51.116445", "51.15613" |
| Longitude | text | 5 | 0 | "71.417789", "71.396492", "71.361778" |
| Event_Type | text | 5 | 0 | "Accident", "Normal", "Sudden De-celeration" |
| Severity | text | 5 | 0 | "High", "Low", "Low" |
| Traffic_Density | text | 5 | 0 | "91.41", "45.52", "21.95" |
Data Quality
This dataset has been processed through Flowmatic's cleaning pipeline:
- ✅ Duplicates removed
- ✅ Missing values handled (interpolation/forward-fill)
- ✅ Outliers processed (winsorization)
- ✅ Type consistency validated
- ✅ Records exported
Usage
Load the dataset using Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset('username/dataset_name')
df = dataset['train'].to_pandas()
Or load directly as CSV:
import pandas as pd
df = pd.read_csv('https://huggingface.co/datasets/username/dataset_name/raw/main/cleaned_data.csv')
License
This dataset is released under the CC BY 4.0 license.
Processed with Flowmatic
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