CoRNStack Python: domain-v1.1: near copies of evaluation documents that no evaluation query judges relevant restored (middle-ground decontamination)

README.md

@@ -44,13 +44,13 @@ A seeded sample of [`nomic-ai/cornstack-python-v1`](https://huggingface.co/datas
 | Source | [`nomic-ai/cornstack-python-v1`](https://huggingface.co/datasets/nomic-ai/cornstack-python-v1/tree/25fb04bd3537983a622d01104a967a5a7f9eaef8) @ `25fb04bd3537` |
 | Task | query → Python function |
 | Domain · languages | code · eng |
-| Queries / documents / qrels | 59,983 / 712,475 / 59,983 |
+| Queries / documents / qrels | 59,994 / 712,486 / 59,994 |
 | Qrels per query | min 1 · mean 1.0 · max 1 |
-| Score values | 2 ×59,983 (2: the first positive, 1: any other) |
+| Score values | 2 ×59,994 (2: the first positive, 1: any other) |
 | Layout | `queries` · `corpus` · `qrels` · `hard-negatives` · `teacher-scores`, split `train` |
 | Splits | `corpus`: train · `hard-negatives`: train · `qrels`: train · `queries`: train · `teacher-scores`: train |
-| Hard negatives | sources: `dataset`, `dense` · 4,006,722 rows |
-| Teacher scores | `jinaai/jina-embeddings-v5-text-small` (the miner's cosine, not a reranker) · 4,066,705 rows (positives included) |
+| Hard negatives | sources: `dataset`, `dense` · 4,007,467 rows |
+| Teacher scores | `jinaai/jina-embeddings-v5-text-small` (the miner's cosine, not a reranker) · 4,067,461 rows (positives included) |
 | Ids | `sha1(text)[:20]`; identical texts collapse to one document / query |
 | License | `apache-2.0` |
 
@@ -72,7 +72,7 @@ Files are Parquet, sorted by id, zstd-compressed, sharded at 500 MB. Every rule
 - **reshaped**: the natural-language query (`query`) is the query, the function (`document`) the document
 - **negatives the source provides**: up to 15 of the row's own mined negatives (`negatives`) (hard-negatives `source` = `dataset`)
 - **decontaminated (exact)**: a pair was dropped when its normalised query equals any evaluation query, or a positive equals a document of a test or dev corpus; a repeated query keeps its first pair
-- **decontaminated (near-duplicates)**: 14 passages and 3 queries that nearly copy a text of an evaluation set (word 13-grams for passages, 8-grams for queries; at least half shared with one text of the 23 test corpora (BEIR, RTEB, LitSearch) and the 3 dev corpora) were removed, and with them 17 queries in total
+- **decontaminated (near-duplicates)**: 3 passages that nearly copy an evaluation document some evaluation query judges relevant, and 3 queries that nearly copy an evaluation query (word 13-grams for passages, 8-grams for queries; at least half shared with one text of the 23 test sets (BEIR, RTEB, LitSearch) or the 6 dev sets) were removed, and with them 6 queries in total; near copies of evaluation-corpus documents that no evaluation query judges relevant were kept
 - **text**: leading and trailing whitespace stripped; otherwise as converted above
 - **ids** re-keyed to `sha1(text)[:20]`: 0 documents and 0 queries collapsed into identical texts
 - added a `title` column filled with `""` (the source has none)
@@ -87,7 +87,7 @@ Filled by the owner's domain pipeline (`convert_domain.py`, `mine_domain.py`), n
 
 | configs | queries | hard negatives | teacher scores |
 |---|---:|---:|---:|
-| `hard-negatives` · `teacher-scores` | 59,983 (all) | 4,006,722 (452,048 dataset, 3,554,674 dense) | 4,066,705 |
+| `hard-negatives` · `teacher-scores` | 59,994 (all) | 4,007,467 (452,100 dataset, 3,555,367 dense) | 4,067,461 |
 
 ## Load it
 

corpus/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
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-oid sha256:9b0224d3e24418517a080f9953f647d2a133d20acd55de4c55f683ee6dd3274a
-size 131538050
+oid sha256:ab34eb0384ec306bcf206bab5bc0fd7a5e20fbcd31e69360b1896e5de2092f2c
+size 131535813

hard-negatives/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
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-oid sha256:d74e9581d579c9d8aca3d6424c17d70a7027bdb4c845726b678216cfc24b9bd6
-size 49095009
+oid sha256:d3cd4501667234522499e436eaa7ef1122080a4c1548cfb0332e0c097a761db0
+size 49139057

provenance.json

@@ -42,10 +42,10 @@
  },
  "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": 14,
+  "near_duplicate": "word 13-gram shingles of passages, 8-grams of queries, a fixed 1/4 sample; a near copy shares >= half (and the text has >= 4) with one text of the 23 test sets and the 6 dev sets; removed: passages nearly copying a document some evaluation query judges relevant, and queries nearly copying an evaluation query; near copies of documents no evaluation query judges relevant are kept (data/tmp/full_overlap_audit.py)",
+  "flagged_passages": 3,
   "flagged_queries": 3,
-  "queries_dropped": 17
+  "queries_dropped": 6
  },
  "normalize": {
   "title_added": true,
@@ -56,25 +56,25 @@
   "score_spread_max": 0.0
  },
  "stats": {
-  "n_queries": 59983,
-  "n_corpus": 712475,
-  "n_qrels": 59983,
+  "n_queries": 59994,
+  "n_corpus": 712486,
+  "n_qrels": 59994,
   "qrels_per_query": {
    "min": 1,
    "mean": 1.0,
    "max": 1
   },
   "score_values": {
-   "2": 59983
+   "2": 59994
   },
   "corpus_with_title": 0,
-  "n_hard_negatives": 4006722,
+  "n_hard_negatives": 4007467,
   "sources": {
-   "dense": 3554674,
-   "dataset": 452048
+   "dense": 3555367,
+   "dataset": 452100
   },
   "negatives_per_query": 66.8,
-  "n_teacher_scores": 4066705,
+  "n_teacher_scores": 4067461,
   "teachers": [
    "jinaai/jina-embeddings-v5-text-small"
   ],
@@ -86,9 +86,9 @@
    "train": [
     {
      "path": "queries/train-00000-of-00001.parquet",
-     "rows": 59983,
-     "bytes": 3037712,
-     "sha256": "b6d26cef8fe86012e2e7770937881661d0f71267a7f0260e6c7a9c9c18651043"
+     "rows": 59994,
+     "bytes": 3038108,
+     "sha256": "15acd7d2c3df87a58c5a84798850183d1e38a30d8d308c546443e259a39db811"
     }
    ]
   },
@@ -96,9 +96,9 @@
    "train": [
     {
      "path": "corpus/train-00000-of-00001.parquet",
-     "rows": 712475,
-     "bytes": 131538050,
-     "sha256": "9b0224d3e24418517a080f9953f647d2a133d20acd55de4c55f683ee6dd3274a"
+     "rows": 712486,
+     "bytes": 131535813,
+     "sha256": "ab34eb0384ec306bcf206bab5bc0fd7a5e20fbcd31e69360b1896e5de2092f2c"
     }
    ]
   },
@@ -106,9 +106,9 @@
    "train": [
     {
      "path": "qrels/train-00000-of-00001.parquet",
-     "rows": 59983,
-     "bytes": 1446999,
-     "sha256": "1e8f701bc7f7421ff395e08370fc34514c4e5873db28d0912d186f299e9c0724"
+     "rows": 59994,
+     "bytes": 1451479,
+     "sha256": "b9f18e1e89806138ae2c9905e9cccc9a504e7fa2e3f561d55a4669ed866a460a"
     }
    ]
   },
@@ -116,9 +116,9 @@
    "train": [
     {
      "path": "hard-negatives/train-00000-of-00001.parquet",
-     "rows": 4006722,
-     "bytes": 49095009,
-     "sha256": "d74e9581d579c9d8aca3d6424c17d70a7027bdb4c845726b678216cfc24b9bd6"
+     "rows": 4007467,
+     "bytes": 49139057,
+     "sha256": "d3cd4501667234522499e436eaa7ef1122080a4c1548cfb0332e0c097a761db0"
     }
    ]
   },
@@ -126,9 +126,9 @@
    "train": [
     {
      "path": "teacher-scores/train-00000-of-00001.parquet",
-     "rows": 4066705,
-     "bytes": 61263455,
-     "sha256": "5f78beca05bab44e78ccbab8ac690d6989f270a5413775b21639cb530f3bc004"
+     "rows": 4067461,
+     "bytes": 61278979,
+     "sha256": "5be57a08632d7a585f703aec12e4e1b8f17a3205e1322d1f9eff197c30f69a74"
     }
    ]
   }

qrels/train-00000-of-00001.parquet

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queries/train-00000-of-00001.parquet

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+size 3038108

teacher-scores/train-00000-of-00001.parquet

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