Download tasks/multilingual-vector-postprocessing/source-metadata.json from search-swe/Search-SWE: direct link, hf CLI and curl.
- Browser
- Download file 18.8 kB
-
https://huggingface.co/datasets/search-swe/Search-SWE/resolve/main/tasks/multilingual-vector-postprocessing/source-metadata.json
- Command line
-
hf download hf://datasets/search-swe/Search-SWE/tasks/multilingual-vector-postprocessing/source-metadata.json
-
curl -L -o source-metadata.json https://huggingface.co/datasets/search-swe/Search-SWE/resolve/main/tasks/multilingual-vector-postprocessing/source-metadata.json
18.8 kB
| { | |
| "status": "complete actual local assets; publication tracked separately in assets.json", | |
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| "grouping": "Original mMARCO ID across translations; original MIRACL page within language; union normalized exact original text before group split; no unverified cross-language Wikipedia page-ID alignment", | |
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| "sampling": "Seed260104768 family decisions and language-specific reservoirs, then audited exact 200000 train/20000 probe per language; same original/identifiable-translation families cannot cross splits", | |
| "overlap_audit": { | |
| "scope": "Exact canonical segments across all languages; exact char5 Jaccard >= .85 within each language; benchmark full text/substrings/char5 near matches audited before sampling; whole linked roots excluded globally", | |
| "cross_split_family_intersection": 0, | |
| "globally_excluded_roots": 416, | |
| "normalized_exact_probe_matches_all_languages": 1 | |
| }, | |
| "opaque_sample_ids": "Independent private per-shard random seeds; uint64 values with no original/family alignment metadata", | |
| "author_audit_commitments": { | |
| "sources/training-source-downloads.json": "9565d14648e0020971a98dac8a80ca59442c9dcc511f5a18e09806e164792cb6", | |
| "training-author-only/grouping-audit.json": "86b7ca541c2137dcadb9be1008213b58a72d63af7fe0d8bf1d4499615dc03217", | |
| "training-author-only/segment-generation-audit.json": "975032616e5ae5e522af6002882e0da0388ae0aaa17074c6fdc84a908f49ff4d", | |
| "training-author-only/final-selection-audit.json": "74c40c7e82e34699245fd8fb8d07bcd41592584e5de27e546ff775f1390dd009", | |
| "training-author-only/training-vector-encoding-audit.json": "4d13cba4c8b150b3ce95c80fd56b428809a6653c6b8aabb7d092afb481a373de" | |
| }, | |
| "private_sample_id_seed_commitment": "5c32aadaef9ad483b7fa23d3783567f8701d0c136a51965558b0bf9047f189c3", | |
| "private_candidate_validation_commitments": { | |
| "ar": "8183264278a43ac458f3b9c39789247f9ab5af2ae5eb3b4194635e2e2466d452", | |
| "zh": "67226e131e13be4a0c5e9ffa7f7ec907a74735b5ee6af456959340844f13eee2", | |
| "en": "f21076207acef9846502ec101ec48b8161d183ad19c97b396d280779c55a7ca6", | |
| "fr": "c296d98aabe8f7660511bcc4d152bca37288c939a546fcac1a746702b0815953", | |
| "hi": "7eef95c2369fe03d5e417f4106c35e19603d0745d15f806413414089cf8721e3", | |
| "it": "d91b1447f4e7886a09a3d02cc862a80e1e9871791bb3b80910c8d513fc5f6b9c", | |
| "ja": "2e6ea608950f69e3a4925321bc5411004da4f8a2e2a194a9a44e5f0883d5f313", | |
| "pt": "b8d27edb6de91b000fbc86b73882e69aa46db5a74a1d0a2bd368e4cd6b1d57aa", | |
| "ru": "6ca83a1c363d66edbd8c51aad310a2bd9b9b4a81264bc0d47527f59499182a45", | |
| "es": "7c403338871332ec9ae2a8a3ca840da80e2da77bc5c23d5ca16a86a8b2f2cf76" | |
| }, | |
| "licenses": { | |
| "encoder": "Model card MIT", | |
| "belebele": "Dataset card CC BY-SA 4.0", | |
| "xquad": "Dataset card CC BY-SA 4.0", | |
| "miracl": "Corpus card Apache 2.0; Wikipedia source attribution also recorded upstream", | |
| "mmarco": "Card Apache 2.0 but repository LICENSE CC BY 4.0: preserve both statements for publication review" | |
| } | |
| } | |