| --- |
| license: mit |
| task_categories: |
| - question-answering |
| - text-retrieval |
| language: |
| - en |
| tags: |
| - search |
| - benchmark |
| - news |
| - twitter |
| pretty_name: Desearch Benchmark Questions |
| size_categories: |
| - 100K<n<1M |
| configs: |
| - config_name: web |
| data_files: |
| - split: train |
| path: questions/*.jsonl |
| - config_name: x |
| data_files: |
| - split: train |
| path: x/*.jsonl |
| --- |
| |
| # Desearch Benchmark Questions |
|
|
| Fresh, self-contained benchmark questions for evaluating web and X (Twitter) search. |
| Regenerated daily from recent news and tweets. Each question is answerable from public |
| sources within a dated window — there are no answer keys or source URLs in the public data, |
| so systems have to actually search rather than recall. |
|
|
| ## Subsets |
|
|
| | Path | Lane | Built from | |
| | --- | --- | --- | |
| | `questions/` | Web / news | Recent news articles (RSS + news sitemaps) | |
| | `x/` | X / Twitter | High-signal tweets from the past 24h | |
|
|
| Files are one per day: `<YYYY-MM-DD>.jsonl` (web) and `x-<YYYY-MM-DD>.jsonl` (X). |
|
|
| ## Schema |
|
|
| Every row is source-free: |
|
|
| ```json |
| { |
| "id": "…", |
| "question": "…", |
| "difficulty": "easy | medium | hard", |
| "start_date": "YYYY-MM-DDTHH:MM:SSZ", |
| "end_date": "YYYY-MM-DDTHH:MM:SSZ" |
| } |
| ``` |
|
|
| `start_date`/`end_date` bound the window in which the question is answerable — use them as a |
| date filter when searching. Gold answers are kept private and are never uploaded. |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| web = load_dataset("desearch/dataset", "web", split="train") |
| x = load_dataset("desearch/dataset", "x", split="train") |
| ``` |
|
|
| ## Updates |
|
|
| Regenerated daily by an open-source generator (news twice daily, X once daily), so the set |
| grows one file per lane per day. |
|
|
