Datasets:
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Download README.md from TheFinAI/oecd_data: direct link, hf CLI and curl.
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1.55 kB
| pretty_name: OECD publications | |
| license: other | |
| license_name: public-sector-publication | |
| language: | |
| - en | |
| task_categories: | |
| - text-generation | |
| tags: | |
| - finance | |
| - pretraining | |
| - corpus | |
| - thefinai | |
| extra_gated_heading: Request access to OECD publications | |
| extra_gated_description: OECD publications 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. Use of the content is also subject to the terms of the original source. | |
| 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 | |
| # OECD publications | |
| 🌐 [The Fin AI](https://thefin.ai) | |
| > Pretraining / reference corpus released by The Fin AI. Source: **the OECD** — https://www.oecd.org/. | |
| ## Source | |
| Publications of the OECD, redistributed for research. | |
| ## Structure | |
| - Rows: **28,949** | |
| - Columns: `Source`, `Date`, `Text`, `Token_count` | |
| ## Quick Start | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("TheFinAI/oecd_data", split="train", streaming=True) | |
| print(next(iter(ds))) | |
| ``` | |
| ## License | |
| The content keeps the license and terms of its original source (see above). The Fin AI does not relicense it; please check the source's terms before reuse. | |