README.md

---
license: apache-2.0
task_categories:
- feature-extraction
language:
- en
tags:
- agent
- code
pretty_name: Instruct2DS
size_categories:
- 100K<n<1M
configs:
- config_name: financial
  data_files:
  - split: train
    path: financial/train-*
- config_name: mlb_pitching
  data_files:
  - split: train
    path: mlb_pitching/train-*
- config_name: nba_player
  data_files:
  - split: train
    path: nba_player/train-*
- config_name: nba_team
  data_files:
  - split: train
    path: nba_team/train-*
- config_name: papers
  data_files:
  - split: train
    path: papers/train-*
dataset_info:
- config_name: financial
  features:
  - name: symbol
    dtype: string
  - name: date
    dtype: string
  - name: open
    dtype: float64
  - name: high
    dtype: float64
  - name: low
    dtype: float64
  - name: close
    dtype: float64
  - name: volume
    dtype: int64
  - name: adj_open
    dtype: float64
  - name: adj_high
    dtype: float64
  - name: adj_low
    dtype: float64
  - name: adj_close
    dtype: float64
  - name: adj_volume
    dtype: int64
  - name: div_cash
    dtype: float64
  splits:
  - name: train
    num_bytes: 133842081
    num_examples: 1226153
  download_size: 67236100
  dataset_size: 133842081
- config_name: mlb_pitching
  features:
  - name: team_name
    dtype: string
  - name: team_abbr
    dtype: string
  - name: year
    dtype: int64
  - name: w
    dtype: int64
  - name: l
    dtype: int64
  - name: era
    dtype: float64
  - name: g
    dtype: int64
  - name: gs
    dtype: int64
  - name: cg
    dtype: int64
  - name: sho
    dtype: int64
  - name: sv
    dtype: int64
  - name: ip
    dtype: float64
  - name: h
    dtype: int64
  - name: r
    dtype: int64
  - name: er
    dtype: int64
  - name: hr
    dtype: int64
  - name: hb
    dtype: int64
  - name: bb
    dtype: int64
  - name: so
    dtype: int64
  splits:
  - name: train
    num_bytes: 502359
    num_examples: 3366
  download_size: 100934
  dataset_size: 502359
- config_name: nba_player
  features:
  - name: player_name
    dtype: string
  - name: year
    dtype: int64
  - name: birthdate
    dtype: string
  - name: country
    dtype: string
  - name: height
    dtype: string
  - name: weight
    dtype: float64
  - name: draft_year
    dtype: string
  - name: draft_round
    dtype: string
  - name: draft_number
    dtype: string
  - name: team_abbr
    dtype: string
  - name: gp
    dtype: int64
  - name: gs
    dtype: int64
  - name: min
    dtype: float64
  - name: fgm
    dtype: float64
  - name: fga
    dtype: float64
  - name: fg3m
    dtype: float64
  - name: fg3a
    dtype: float64
  - name: ftm
    dtype: float64
  - name: fta
    dtype: float64
  - name: oreb
    dtype: float64
  - name: dreb
    dtype: float64
  - name: reb
    dtype: float64
  - name: ast
    dtype: float64
  - name: stl
    dtype: float64
  - name: blk
    dtype: float64
  - name: tov
    dtype: float64
  - name: pf
    dtype: float64
  - name: pts
    dtype: float64
  splits:
  - name: train
    num_bytes: 7516820
    num_examples: 30650
  download_size: 967456
  dataset_size: 7516820
- config_name: nba_team
  features:
  - name: team_name
    dtype: string
  - name: team_abbr
    dtype: string
  - name: year
    dtype: int64
  - name: gp
    dtype: int64
  - name: w
    dtype: int64
  - name: l
    dtype: int64
  - name: fgm
    dtype: float64
  - name: fga
    dtype: float64
  - name: fg3m
    dtype: float64
  - name: fg3a
    dtype: float64
  - name: ftm
    dtype: float64
  - name: fta
    dtype: float64
  - name: oreb
    dtype: float64
  - name: dreb
    dtype: float64
  - name: reb
    dtype: float64
  - name: ast
    dtype: float64
  - name: tov
    dtype: float64
  - name: stl
    dtype: float64
  - name: blk
    dtype: float64
  - name: pf
    dtype: float64
  - name: pts
    dtype: float64
  splits:
  - name: train
    num_bytes: 296737
    num_examples: 1657
  download_size: 89449
  dataset_size: 296737
- config_name: papers
  features:
  - name: conference
    dtype: string
  - name: abbr
    dtype: string
  - name: year
    dtype: int64
  - name: track
    dtype: string
  - name: title
    dtype: string
  - name: authors
    list: string
  - name: abstract
    dtype: string
  - name: paper_link
    dtype: string
  - name: bibtex_link
    dtype: string
  - name: supp_link
    dtype: string
  splits:
  - name: train
    num_bytes: 147862193
    num_examples: 97269
  download_size: 68169620
  dataset_size: 147862193
---

# Dataset Card for Dataset Name

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## Dataset Details

### Dataset Description

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## Uses

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### Direct Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

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### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

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#### Who are the source data producers?

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### Annotations [optional]

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#### Annotation process

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#### Who are the annotators?

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#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

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## Bias, Risks, and Limitations

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### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

```
@inproceedings{ma2025autodata,
  title={AutoData: A Multi-Agent System for Open Web Data Collection},
  author={Ma, Tianyi and Qian, Yiyue and Zhang, Zheyuan and Wang, Zehong and Qian, Xiaoye and Bai, Feifan and Ding, Yifan and Luo, Xuwei and Zhang, Shinan and Murugesan, Keerthiram and others},
  booktitle={NeurIPS},
  year={2025}
```

**APA:**

```
Ma, T., Qian, Y., Zhang, Z., Wang, Z., Qian, X., Bai, F., ... & Ye, Y. (2025). AutoData: A Multi-Agent System for Open Web Data Collection. arXiv preprint arXiv:2505.15859.
```

## Glossary [optional]

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## More Information [optional]

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## Dataset Card Authors

Tianyi (Billy) Ma

## Dataset Card Contact

Tianyi (Billy) Ma - [[email protected]](mailto:[email protected])