simple-llm-python-124m-5b / data-provenance.json
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python-124m-muon-5b-20261021-v1: 50065393 training targets
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{
"experiment": "python-124m-muon-5b",
"public_source_snapshots": [
{
"dataset": "codeparrot/codeparrot-clean-train",
"revision": "3e6ab65f2864931e041f6a82db9b5a6ec2b71ab4",
"representation": "complete Python files; dataset snapshot is pinned, individual upstream Git commits are not supplied"
},
{
"dataset": "common-pile/stackexchange",
"revision": "5ec3aa2e65b7c61b7c18f1ff18ccbc4d3279a23c",
"representation": "complete explanatory Python Stack Overflow threads with per-record CC-BY-SA attribution"
}
],
"collected_repositories": "Complete pinned Git blobs from the user's collected snapshots; prefer recent snapshots and consume retained collected files first within each category. Repository identities, commits and notices remain in the private ledger.",
"existing_source_pools": "Pinned prepared CodeParrot, FineWeb-Edu, FineMath, Gutenberg and programming-documentation pools. Original database hashes, upstream record metadata and license evidence remain in the private ledger.",
"filters": [
"Exclusive implementation, tests/examples, Python documentation and supporting-text categories",
"Exclude vendored, generated, minified, boilerplate-heavy and malformed files; preserve accepted text unchanged",
"Python 3.12 AST validation; newer syntax can be conservatively excluded",
"Exact file/document deduplication across sources; near clones can remain",
"Per-repository/category cap of 1 percent of that category's training budget",
"Repository/thread holdouts before window construction; cross-source heldout repository and exact document-hash exclusions",
"Exclude exact MBPP reference hashes; no exhaustive benchmark-contamination claim"
],
"token_accounting": "Nonpadding next-token labels, including each document's EOS target. Existing frozen tokenizer; exact six-category budgets; prefer one pass, never exceed two.",
"limitations": "Supplemental code and technical Q&A include older material. Heuristic filters and upstream licensing metadata are imperfect. Detailed provenance is retained privately; this file contains only aggregate and public-source information.",
"corpus_database_sha256": "3942c0e7edccc426cbf7f0c3b9d69144f0511960a36e6615151645c38da41565",
"tokenizer_sha256": "add5b2c7542e4efded329735825ecdcb94df1432617c3d3e4b7508aa459432f9",
"capacity_by_origin": [
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{
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{
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{
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{
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{
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{
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{
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{
"category": "python_tests_examples",
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{
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{
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]
}