Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Languages:
Chinese
Size:
10K - 100K
License:
|
Download README.md from TheFinAI/zh-corpus: direct link, hf CLI and curl.
- Browser
- Download file 1.57 kB
-
https://huggingface.co/datasets/TheFinAI/zh-corpus/resolve/main/README.md
- Command line
-
hf download hf://datasets/TheFinAI/zh-corpus/README.md
-
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/TheFinAI/zh-corpus/resolve/main/README.md
1.57 kB
| pretty_name: Chinese financial corpus classification | |
| license: other | |
| license_name: unspecified | |
| language: | |
| - zh | |
| task_categories: | |
| - text-classification | |
| tags: | |
| - finance | |
| - thefinai | |
| extra_gated_heading: Request access to Chinese financial corpus classification | |
| extra_gated_description: Chinese financial corpus classification is released by The Fin AI for research. Access is granted automatically after you complete this short form. | |
| extra_gated_button_content: Agree and access | |
| extra_gated_prompt: By accessing this dataset you agree to its license and to cite the The Fin AI paper in any resulting publication. | |
| extra_gated_fields: | |
| Full name: text | |
| Affiliation: text | |
| Country: country | |
| Intended use: | |
| type: select | |
| options: | |
| - Research | |
| - Education | |
| - Commercial evaluation | |
| - Other | |
| I agree to the terms above and will cite the paper: checkbox | |
| # Chinese financial corpus classification | |
| 🌐 [The Fin AI](https://thefin.ai) | |
| > Formerly `TheFinAI/flare-zh-corpus` (the old name redirects here). | |
| Legacy FLARE-ZH task (loaded by the PIXIU harness). The authors have not yet specified a license for this dataset; treat it as research-only until clarified, and respect the terms of the original sources. | |
| | | | | |
| |---|---| | |
| | Task | classification | | |
| | Language | zh | | |
| | License | other (unspecified) | | |
| ## Quick Start | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("TheFinAI/zh-corpus", split="test") | |
| print(ds[0]) | |
| ``` | |
| | Split | Rows | | |
| |---|---| | |
| | `test` | 10,000 | | |
| Columns: `id`, `query`, `answer`, `choices`, `gold`, `text` | |