2 days ago
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Add Dataset #2: Magicoder-OSS-Instruct-75K python subset (+673 records)
Sequential processing per curation policy: Dataset #2 processed only after #1 complete.
38,284 python rows inspected row-by-row; 1,338 execution-verifiable via conservative
test derivation (incl. Pattern G: prelude + safe-expression asserts); 746 passed sandbox
execution; -71 benchmark-overlap, -2 flaky; 673 accepted (double-run determinism-checked).
Total repo: 10,948 records, 100% execution-verified, 100% <=16k tokens.
Logs/reports/card updated; full audit trail (88,945 log rows, 77,997 rejection records). -
Curated execution-verified Python training data (10,275 records)
Source: bigcode/self-oss-instruct-sc2-exec-filter-50k (ODC-BY). Row-by-row curation:
50,661 rows inspected; sandbox re-execution of every accepted record; benchmark
decontamination screening (HumanEval/MBPP/BigCodeBench/DS-1000); dedup; repairs;
schema normalization; token accounting (all <=16k, o200k_base). Full audit trail in
metadata/ and reports/. -
restart: remove mixed batch_001 (switching to one-dataset-at-a-time policy)
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batch 001: 50 execution-verified python examples
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revert: restore original 28-byte README
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revert: restore original README
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revert: remove VALIDATION_LOG.md
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revert: remove RULES.md
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revert: remove SCHEMA.md
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revert: remove data/train-00000-of-00001.parquet
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batch 1: upload data/train-00000-of-00001.parquet (19 execution-verified Python examples)
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batch 1: upload VALIDATION_LOG.md (19 execution-verified Python examples)
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batch 1: upload RULES.md (19 execution-verified Python examples)
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batch 1: upload SCHEMA.md (19 execution-verified Python examples)
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batch 1: upload README.md (19 execution-verified Python examples)
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chore: remove write-access probe
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chore: write-access probe
5 days ago
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restart: remove mixed batch_001 (switching to one-dataset-at-a-time policy)
-
batch 001: 50 execution-verified python examples
-
revert: restore original 28-byte README
-
revert: restore original README
-
revert: remove VALIDATION_LOG.md
-
revert: remove RULES.md
-
revert: remove SCHEMA.md
-
revert: remove data/train-00000-of-00001.parquet
-
batch 1: upload data/train-00000-of-00001.parquet (19 execution-verified Python examples)
-
batch 1: upload VALIDATION_LOG.md (19 execution-verified Python examples)
-
batch 1: upload RULES.md (19 execution-verified Python examples)
-
batch 1: upload SCHEMA.md (19 execution-verified Python examples)
-
batch 1: upload README.md (19 execution-verified Python examples)
-
Add Dataset #2: Magicoder-OSS-Instruct-75K python subset (+673 records)
Sequential processing per curation policy: Dataset #2 processed only after #1 complete.
38,284 python rows inspected row-by-row; 1,338 execution-verifiable via conservative
test derivation (incl. Pattern G: prelude + safe-expression asserts); 746 passed sandbox
execution; -71 benchmark-overlap, -2 flaky; 673 accepted (double-run determinism-checked).
Total repo: 10,948 records, 100% execution-verified, 100% <=16k tokens.
Logs/reports/card updated; full audit trail (88,945 log rows, 77,997 rejection records). -
Curated execution-verified Python training data (10,275 records)
Source: bigcode/self-oss-instruct-sc2-exec-filter-50k (ODC-BY). Row-by-row curation:
50,661 rows inspected; sandbox re-execution of every accepted record; benchmark
decontamination screening (HumanEval/MBPP/BigCodeBench/DS-1000); dedup; repairs;
schema normalization; token accounting (all <=16k, o200k_base). Full audit trail in
metadata/ and reports/. -
chore: remove write-access probe
-
chore: write-access probe
22 days ago
-
restart: remove mixed batch_001 (switching to one-dataset-at-a-time policy)
-
batch 001: 50 execution-verified python examples
-
revert: restore original 28-byte README
-
revert: restore original README
-
revert: remove VALIDATION_LOG.md
-
revert: remove RULES.md
-
revert: remove SCHEMA.md
-
revert: remove data/train-00000-of-00001.parquet
-
batch 1: upload data/train-00000-of-00001.parquet (19 execution-verified Python examples)
-
batch 1: upload VALIDATION_LOG.md (19 execution-verified Python examples)
-
batch 1: upload RULES.md (19 execution-verified Python examples)
-
batch 1: upload SCHEMA.md (19 execution-verified Python examples)
-
batch 1: upload README.md (19 execution-verified Python examples)
-
Add Dataset #2: Magicoder-OSS-Instruct-75K python subset (+673 records)
Sequential processing per curation policy: Dataset #2 processed only after #1 complete.
38,284 python rows inspected row-by-row; 1,338 execution-verifiable via conservative
test derivation (incl. Pattern G: prelude + safe-expression asserts); 746 passed sandbox
execution; -71 benchmark-overlap, -2 flaky; 673 accepted (double-run determinism-checked).
Total repo: 10,948 records, 100% execution-verified, 100% <=16k tokens.
Logs/reports/card updated; full audit trail (88,945 log rows, 77,997 rejection records). -
Curated execution-verified Python training data (10,275 records)
Source: bigcode/self-oss-instruct-sc2-exec-filter-50k (ODC-BY). Row-by-row curation:
50,661 rows inspected; sandbox re-execution of every accepted record; benchmark
decontamination screening (HumanEval/MBPP/BigCodeBench/DS-1000); dedup; repairs;
schema normalization; token accounting (all <=16k, o200k_base). Full audit trail in
metadata/ and reports/. -
pipeline: +400 verified examples (kodcode_sft_r1)