train-gerlayqa / provenance.json
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gerlayqa: re-mined candidates (100 to depth 1000); teacher scores to come
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{
"task": "GerLayQA",
"benchmark": "train",
"repo": "train-gerlayqa",
"conversion": "2026-09-29",
"source": {
"path": "ViolaCamille/GerLayQA",
"revision": "7b7b14c5adab6841cdff9cd82340a61b018e234f",
"url": "https://huggingface.co/datasets/ViolaCamille/GerLayQA/tree/7b7b14c5adab6841cdff9cd82340a61b018e234f",
"configs": [],
"file": null
},
"license": {
"card": "apache-2.0",
"upstream_checked": true
},
"languages": [
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],
"domain": "legal (German)",
"byte_preserving_text": false,
"symmetric": false,
"layout": {
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"splits": [
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},
"id_scheme": "sha1(text)[:20]",
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},
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"decontamination": {
"exact": "the normalised query equals an evaluation query, or a positive equals a test / dev corpus document (convert_domain.py)",
"near_duplicate": "word 13-gram shingles of passages, 8-grams of queries, a fixed 1/4 sample; flagged at >= half (and >= 4) shared with one text of the 23 test corpora and the 3 dev corpora (data/tmp/domain_overlap_flagged.py)",
"flagged_passages": 0,
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},
"normalize": {
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"teachers": [
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],
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},
"annotation": {
"namespace": "jina35-u2",
"stage": "mined; teacher scores to come",
"miner": "jinaai/jina-embeddings-v5-text-small",
"dense_top": 1000,
"sample": {
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"stats": {
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"scores": 0,
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}
}