wisp-coder-110m / evidence /inputs /e2_registered_training_data_receipt.json
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{
"audited_at": "2026-07-26T05:38:59Z",
"post_run1_correction": {
"active_run1_process_or_shards_changed": false,
"behavior": "Known Hub schemas select their real path column and fail closed if it is missing or empty. A leading StarCoderData reponame metadata line is removed only for syntax parsing, while the original text remains the training payload.",
"corpus_script": {
"path": "scripts/corpus.py",
"sha256": "05afba561a6258812d2baa802456c29c00d30955bec7f5c46389b90b2dad9e93"
},
"effective_scope": "future_source_streaming_only",
"quality_gate_test": {
"path": "scripts/test_corpus_quality.py",
"sha256": "b90f72e30d0eb5040ded59aaf4ae5a7a4a90c8951bbc66fe4fceb0cdd2ba5eed"
}
},
"publication_documents": {
"data_document": {
"path": "DATA.md",
"sha256": "fac5dce1b46f29821e3ed509332922ba395d4f3a1660b2e95929e94393e25ec7"
},
"model_card_template": {
"path": "MODEL_CARD.md",
"sha256": "ecd9611c82d8a05da30f36ef41b5ec0642ec7a4e6137c20f5951d84a51d55d9f"
}
},
"registered_run1_config": {
"path": "config/run1.json",
"sha256": "f1683a7b00bf1b1e93654ebb366fa0072ba6092b0dbad10272e9353196c3532d"
},
"registered_run2_config": {
"path": "config/run2_no_fim.json",
"sha256": "5692f15944dcef9a8a64a96ea5b5888b39024de321c2bb9a302f1c522bc3ea12"
},
"required_publication_disclosures": [
"Do not claim that every Python or JSON training document passed an extension parser.",
"Do not claim that the run 1 shards were locally verified as permissive-only.",
"State that original StarCoderData repository terms and relevant attribution clauses still apply.",
"State that FineWeb-Edu is ODC-By 1.0 and remains subject to Common Crawl terms.",
"State that Apache 2.0 covers the Wisp artifact and does not override source-data or generated-code terms.",
"State that the tokenizer sampled source entries round-robin by document rather than using the configured training-token weights.",
"Do not claim that deterministic run 1 token normalization proves exact original examples or boundaries.",
"State that run 1 applied fim_rate 0.7 independently per tokenized chunk, not per source document or sampled training window."
],
"run1_fim_application": {
"build_log": {
"path": "evidence/run1_corpus_build.log",
"sha256": "ef5de5c46aac1ff601158b43a3cde481ae6090ea04eefc772c531ff2ac78295e"
},
"build_source": {
"git_blob_sha1": "18b7e158ecec3467be28e1b18a5bab72c0ee1c77",
"git_commit": "a534de4d542167bdcea8adfda8fbf25d6cd0db44",
"path": "scripts/prepare_data.py",
"sha256": "6ebbd49a92de87582c429e2c0a5e2fd22792b7db1cbf44e37651b4eceaef7ff6"
},
"configured_rate_is_per_source_document": false,
"configured_rate_is_per_training_window": false,
"configured_transform_probability_per_chunk": 0.7,
"maximum_chunk_tokens": 1024,
"selected_orderings": {
"psm_probability": 0.5,
"spm_probability": 0.5
},
"selection_unit": "tokenized_chunk",
"statement": "Run 1 split each tokenized source document into chunks of at most 1024 tokens and selected FIM independently for each chunk. The configured 0.7 is not a per-document or per-window rate.",
"training_window_tokens": 2051
},
"run1_final_build_evidence": {
"final_index": {
"path": "data/shards/index.json",
"sha256": "862b1a9b7cc6c3c0d31299e21b352e2b736de767a99bf7fa38213d6c60fc0db0"
},
"log": {
"path": "evidence/run1_corpus_build.log",
"sha256": "ef5de5c46aac1ff601158b43a3cde481ae6090ea04eefc772c531ff2ac78295e"
},
"realized_train_percent": {
"fineweb_edu": 7.993028,
"implementation_code": 84.997663,
"markdown": 7.009309,
"starcoderdata_including_markdown": 92.006972
},
"realized_train_tokens": {
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"bigcode/starcoderdata:c": 250363883,
"bigcode/starcoderdata:go": 451081764,
"bigcode/starcoderdata:java": 400525337,
"bigcode/starcoderdata:javascript": 650722190,
"bigcode/starcoderdata:markdown": 351026251,
"bigcode/starcoderdata:python": 1200566506,
"bigcode/starcoderdata:rust": 451511705,
"bigcode/starcoderdata:shell": 150445965,
"bigcode/starcoderdata:sql": 100765073,
"bigcode/starcoderdata:typescript": 600701168
},
"scope": "Exact aggregate train-token totals only. Row identities, rejection counts, per-source validation overshoot, and row-level obligations remain unavailable.",
"total_train_tokens": 5008000739
},
"run1_provenance_limitations": {
"exact_original_unit_boundaries_proven": false,
"locally_verified_permissive_only": false,
"per_row_attribution_index_available": false,
"per_row_license_mapping_preserved": false,
"per_source_validation_counts_recorded": false,
"realized_per_source_train_tokens_recovered_from_final_log": true,
"source_revisions_captured_during_build": false,
"source_row_metadata_preserved_in_shards": false,
"statement": "Run 1 preserves configured source weights, exact aggregate train-token totals from the recovered final build log, post-build revision evidence, and a post-build hash of every current shard. It does not preserve ordered raw rows, repository paths, rejection counts, per-source validation overshoot, per-row licenses, attribution mapping, or exact original unit boundaries needed for a local permissive-only and example-exact audit."
},
"run1_quality_gate": {
"configured_path_field": null,
"corpus_script_at_build_sha256": "7180e0d69a543fa2ddcf76ef6fa035a14bab2f7e0dfc8a31413b416ad891886e",
"extension_parser_activated_for_hub_rows": false,
"path_field_used": "path",
"reason": "The run 1 iterator requested the absent path column, so Hub rows reached the structural filters without a file extension. The Python ast.parse and JSON json.loads branches therefore did not activate.",
"starcoderdata_path_field": "max_stars_repo_path",
"structural_filters_applied": true
},
"run1_shard_integrity": {
"attestation_kind": "post_build_current_bytes_and_visible_grammar",
"boundary_recovery": {
"detectable_reassembly_groups": 27,
"exact_original_units_proven": false,
"mode": "deterministic_visible_grammar_normalization",
"restored_internal_eos_tokens": 33
},
"normalized_splits": {
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"fim_units": 5319185,
"source_tokens": 5008000739,
"units": 7629643
},
"val": {
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"fim_units": 18870,
"source_tokens": 20006112,
"units": 27087
}
},
"receipt": {
"path": "config/run1_shard_integrity_receipt.json",
"sha256": "5831ecd4a471fbe07e19b212bc3de44bed0b0b6b456083e888f66802937bf471"
},
"scheduled_run2_training_positions": 4999872512,
"source_bytes": 10056013702,
"source_files": 52,
"source_index_sha256": "862b1a9b7cc6c3c0d31299e21b352e2b736de767a99bf7fa38213d6c60fc0db0"
},
"schema_version": 1,
"sources": {
"HuggingFaceFW/fineweb-edu": {
"configured_weight": 0.08,
"current_main_revision_at_audit": "87f09149ef4734204d70ed1d046ddc9ca3f2b8f9",
"dataset_card": {
"license_label": "odc-by",
"sha256": "a0cc8998a20499432b28b6575f3046b714938eb8e11b8d59a1d25ddf3716061e",
"terms": "The dataset is distributed under ODC-By 1.0 and remains subject to Common Crawl terms.",
"url": "https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu/blob/87f09149ef4734204d70ed1d046ddc9ca3f2b8f9/README.md"
},
"observed_stream_row_schema": {
"canonical_fields_sha256": "a7b0323d3e758514f936736e75a919bda456e98164299c1c1ce5970f65678f91",
"fields": [
"dump",
"file_path",
"id",
"int_score",
"language",
"language_score",
"score",
"text",
"token_count",
"url"
],
"subset": "sample-10BT"
},
"post_build_cache_ref_revision": "87f09149ef4734204d70ed1d046ddc9ca3f2b8f9"
},
"bigcode/starcoderdata": {
"configured_weight": 0.92,
"current_main_revision_at_audit": "9fc30b578cedaec69e47302df72cf00feed7c8c4",
"dataset_card": {
"license_label": "other",
"sha256": "7a3e42cc82fb48b6b81f2ef06eab94af33e605eff743c6a4b8a3b1852ced7c0a",
"terms": "Original repository licenses apply, including attribution clauses when relevant. Users must follow the source dataset update and removal terms.",
"url": "https://huggingface.co/datasets/bigcode/starcoderdata/blob/9fc30b578cedaec69e47302df72cf00feed7c8c4/README.md"
},
"observed_stream_row_schema": {
"canonical_fields_sha256": "ddfa03121c2f5e5766eada883df62dcaef2a04540a49d849692831ae81fbddd4",
"fields": [
"content",
"id",
"max_stars_count",
"max_stars_repo_name",
"max_stars_repo_path"
],
"subset": "python"
},
"post_build_cache_ref_revision": "9fc30b578cedaec69e47302df72cf00feed7c8c4"
}
},
"status": "limitations_registered",
"tokenizer_sampling": {
"build_log": {
"path": "evidence/tokenizer_build.log",
"sha256": "7c28f91dc527e0cc37d23c520ba183aef845f948b64ea822f3b3ca17de264467"
},
"configured_token_weights_applied": false,
"documents_requested": 400000,
"exact_row_manifest_preserved": false,
"source_entries": 11,
"statement": "The tokenizer sample included FineWeb-Edu and sampled source entries evenly by document, not according to the later training-token weights.",
"strategy": "round_robin_by_configured_source_entry",
"tokenizer": {
"path": "tokenizer/code32k.json",
"sha256": "401a28c1f079050c48f6438830ca772d161d897e3cf2f30588d9ddc587dc6081"
}
}
}