Datasets:
Tasks:
Text Retrieval
Formats:
parquet
Sub-tasks:
document-retrieval
Languages:
English
Size:
10M - 100M
License:
decontamination: training queries that overlap an evaluation set removed from the training tables (strict)
Browse files
README.md
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| Score values | 1 ×6,821 |
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| Layout | `queries` · `corpus` · `qrels` · `hard-negatives` · `teacher-scores`, split `train`; `queries`/`qrels`/`hard-negatives` also carry `dev`, `test` — one shared corpus |
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| Splits | `corpus`: train · `hard-negatives`: train, dev, test · `judgments`: train · `qrels`: train, dev, test · `queries`: train, dev, test · `teacher-scores`: train |
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| Hard negatives | sources: `dataset`, `dense` · 10,
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| Teacher scores | `jinaai/jina-reranker-v3.5` · 10,091,
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| Judgments | `judgments`: `typesafe/jev-1.13.0` · 2,913,
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| Ids | `sha1(text)[:20]`; identical texts collapse to one document (849,330 collapsed) |
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| Pair recovery | 671,325 of 671,325 source pairs reconstructed from `queries` × `qrels` × `corpus` with byte-equal text |
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| Direction | symmetric source: the first text is the query, the second the document — a convention, both texts are in the corpus |
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| configs | queries | hard negatives | teacher scores |
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|---|---:|---:|---:|
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| `hard-negatives` · `teacher-scores` |
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```python
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from datasets import load_dataset
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| config | queries | rows | candidates per query | top-up rows | candidate cutoff | positive check |
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|---|---:|---:|---:|---:|---:|---|
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| `judgments` |
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## Load it
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| Score values | 1 ×6,821 |
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| Layout | `queries` · `corpus` · `qrels` · `hard-negatives` · `teacher-scores`, split `train`; `queries`/`qrels`/`hard-negatives` also carry `dev`, `test` — one shared corpus |
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| Splits | `corpus`: train · `hard-negatives`: train, dev, test · `judgments`: train · `qrels`: train, dev, test · `queries`: train, dev, test · `teacher-scores`: train |
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| Hard negatives | sources: `dataset`, `dense` · 10,242,620 rows |
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| Teacher scores | `jinaai/jina-reranker-v3.5` · 10,091,017 rows (positives included) |
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| Judgments | `judgments`: `typesafe/jev-1.13.0` · 2,913,796 rows |
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| Ids | `sha1(text)[:20]`; identical texts collapse to one document (849,330 collapsed) |
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| Pair recovery | 671,325 of 671,325 source pairs reconstructed from `queries` × `qrels` × `corpus` with byte-equal text |
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| Direction | symmetric source: the first text is the query, the second the document — a convention, both texts are in the corpus |
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| configs | queries | hard negatives | teacher scores |
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|---|---:|---:|---:|
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| `hard-negatives` · `teacher-scores` | 99,994 (seeded sample, seed 1) | 10,242,620 (324,874 dataset, 9,917,746 dense) | 10,091,017 |
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```python
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from datasets import load_dataset
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| config | queries | rows | candidates per query | top-up rows | candidate cutoff | positive check |
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|---|---:|---:|---:|---:|---:|---|
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| `judgments` | 99,994 | 2,913,796 | 28.1 | 869,132 | 0.47 | < 0.15 |
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## Decontamination
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The training tables (`hard-negatives`, `teacher-scores`, `judgments`) leave out the sampled queries that overlap an evaluation set (6 of 100,000 sampled queries). A query was removed when it equals (normalised) or nearly copies an evaluation query (word 8-grams), or when a labelled positive equals an evaluation document or nearly copies a document that an evaluation query judges relevant (word 13-grams; a near copy shares at least half of the text's sampled shingles with one evaluation text). The evaluation side is the 23 test sets (BEIR, RTEB, LitSearch) and the 6 dev sets. `queries`, `corpus` and `qrels` remain the source's data as converted.
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## Load it
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hard-negatives/train-00000-of-00002.parquet
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size 63765131
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hard-negatives/train-00001-of-00002.parquet
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judgments/train-00000-of-00001.parquet
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provenance.json
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"negatives_that_were_positives": 0,
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"negative_texts_byte_equal": 6086
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}
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}
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}
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"negatives_that_were_positives": 0,
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"negative_texts_byte_equal": 6086
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}
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},
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"decontamination": {
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"date": "2026-10-02",
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"rule": "strict",
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"audit": "data/tmp/full_overlap_audit.py",
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"configs": [
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"hard-negatives",
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"teacher-scores",
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"judgments"
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],
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"sources": {
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"allnli": {
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"source": "allnli",
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"prefix": "",
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"sampled": 100000,
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"removed": 6,
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"rows_removed": {
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"hard-negatives": 604,
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"teacher-scores": 608,
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"judgments": 173
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}
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}
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}
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}
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}
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teacher-scores/train-00000-of-00002.parquet
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teacher-scores/train-00001-of-00002.parquet
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