|
Download README.md from Hyukkyu/bright-stackoverflow: direct link, hf CLI and curl.
- Browser
- Download file 2.59 kB
-
https://huggingface.co/datasets/Hyukkyu/bright-stackoverflow/resolve/main/README.md
- Command line
-
hf download hf://datasets/Hyukkyu/bright-stackoverflow/README.md
-
curl -L -o README.md https://huggingface.co/datasets/Hyukkyu/bright-stackoverflow/resolve/main/README.md
2.59 kB
| pretty_name: BRIGHT stackoverflow (unified retrieval schema) | |
| license: cc-by-4.0 | |
| language: | |
| - en | |
| task_categories: | |
| - text-retrieval | |
| tags: | |
| - bright | |
| - retrieval | |
| - reasoning | |
| configs: | |
| - config_name: corpus | |
| data_files: | |
| - split: test | |
| path: corpus/test-*.parquet | |
| - config_name: queries | |
| data_files: | |
| - split: test | |
| path: queries/test-*.parquet | |
| - config_name: qrels | |
| data_files: | |
| - split: test | |
| path: qrels/test-*.parquet | |
| # BRIGHT: stackoverflow | |
| A format conversion of the **standard passage-retrieval** setting of | |
| [BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval](https://arxiv.org/abs/2407.12883), | |
| by the original BRIGHT authors. Source: [xlangai/BRIGHT](https://huggingface.co/datasets/xlangai/BRIGHT/tree/3066d29c9651a576c8aba4832d249807b181ecae), | |
| pinned to `3066d29c9651a576c8aba4832d249807b181ecae`. This is a converted mirror, not an independently annotated dataset. | |
| The original dataset is distributed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). | |
| See `SOURCE_README.md` for the original dataset card and attribution. | |
| | Table | Rows | Columns | | |
| |---|---:|---| | |
| | corpus | 107,081 | id, title, text | | |
| | queries | 117 | id, text | | |
| | qrels | 478 | query-id, corpus-id, score | | |
| | exclusions (optional) | 0 | query-id, corpus-id | | |
| All published configs use the `test` split. `corpus.text` is exactly the original | |
| `documents.content`; `title` is empty. Query IDs, document IDs and original `examples.query` | |
| strings are preserved without normalization. `qrels` is the unique set of `gold_ids` pairs, | |
| with binary score 1. Duplicate labels are collapsed; no relevance judgments are added. | |
| Gold reasoning, gold answers, `gold_ids_long`, generated query rewrites and `long_documents` | |
| are not part of the converted evaluation inputs. | |
| This subset has no real excluded documents; the optional `exclusions` table is omitted. | |
| The `N/A` exclusion sentinel is removed. Excluded IDs and positive IDs are validated against | |
| the corpus and must be disjoint for each query. Keep `ignore_identical_ids=false`: matching | |
| query/document ID strings alone do not imply a BRIGHT exclusion. | |
| Evaluate each BRIGHT subset against its own complete corpus. Report nDCG@10 per subset and | |
| the unweighted mean across the 12 subsets. Record encoder context limits and truncation. | |
| The original [evaluation code](https://github.com/xlang-ai/BRIGHT) defines the protocol. | |
| Converted with `scripts/preprocess/dataset/convert_bright.py` in the SPARSE project. | |
| `conversion.json` records source and output SHA-256 hashes, row counts and validation checks. | |