Datasets:
Tasks:
Text Retrieval
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
License:
| license: cc-by-4.0 | |
| task_categories: | |
| - text-retrieval | |
| language: | |
| - en | |
| tags: | |
| - citation | |
| - retrieval | |
| - arxiv | |
| - neurips | |
| - benchmark | |
| pretty_name: FORAGE | |
| configs: | |
| - config_name: neurips25 | |
| data_files: | |
| - split: cited_papers | |
| path: neurips25/cited_papers.parquet | |
| - split: source_papers | |
| path: neurips25/source_papers.parquet | |
| # The FORAGE Dataset | |
| FORAGE (Finding Out Related Articles via Generative Exploration) is an agentic retrieval benchmark based on the related works prediction task. | |
| ## Subset: `neurips25` | |
| | Split | Rows | Description | | |
| |---|---|---| | |
| | `source_papers` | 1,024 | NeurIPS 2025 papers used as queries | | |
| | `cited_papers` | 25,050 | Retrieval corpus of cited papers | | |
| ### `source_papers` columns | |
| | Column | Type | Description | | |
| |---|---|---| | |
| | `id` | string | NeurIPS 2025 submission ID | | |
| | `content` | string | Full paper text (Markdown) | | |
| | `arxiv_id` | string | arXiv identifier | | |
| | `title` | string | Paper title | | |
| | `abstract` | string | Paper abstract | | |
| | `author` | string | Semicolon-separated author names | | |
| | `first_author_last_name` | string | Last name of first author | | |
| | `related_work` | list[string] | arXiv IDs cited in Related Work — **primary eval target** | | |
| | `all_cited` | list[string] | arXiv IDs cited anywhere in the paper | | |
| ### `cited_papers` columns | |
| | Column | Type | Description | | |
| |---|---|---| | |
| | `id` | string | arXiv paper ID | | |
| | `content` | string | Full paper text (Markdown) | | |
| | `title` | string | Paper title | | |
| | `abstract` | string | Paper abstract | | |
| | `first_author_last_name` | string | Last name of first author | | |
| | `year` | int32 | Publication year | | |
| | `created` | date | arXiv submission date | | |