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control-decisions-v1

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Check out the documentation for more information.

Dataset Card: control-decisions-v1

Summary

  • Run timestamp: 2026-11-07T17:53:22.460800Z
  • Wall clock time: 4.7s
  • Pipeline config hash: 2298c361d83617ea

Source Documents

  • Unknown

Pipeline Stages

Step Input Passed Recovered Rejected Forward
JSONLReader 376 376 — 0 376
SchemaGate 376 376 0 0 376
ExactDeduplicator 376 376 — — 376
TextCleaner 376 376 — — 376
SecretsGate 376 375 0 1 375
AlpacaExporter — 375 — — 375

Gate Pass Rates and Rejection Breakdown

  • JSONLReader: 376/0 passed (N/A), 0 rejected
  • SchemaGate: 376/376 passed (100.0%), 0 rejected
  • SecretsGate: 375/376 passed (99.7%), 1 rejected

Rejection reasons:

  • secret_detected:Hex High Entropy String: 1

Deduplication

  • exact_duplicates_removed: 0

Known Limitations

  • No MinHash deduplication applied.
  • Table extraction requires extract_tables: true on the PDF reader and MinerU with GPU support. Disabled by default.
  • Token counting uses a whitespace tokenizer by default. For exact LLM context window enforcement, enable use_tiktoken: true in the SchemaGate config.
  • Both within-run (MinHash/Diversity) and cross-run (EmbeddingDeduplicator) deduplication are available. Cross-run dedup persists an embedding index across runs; use embedding_reset_index: true to start fresh.

Reproduction 

pip install curatorkit
curatorkit run pipeline.yaml --output-dir ./out/

Tool Versions

  • curatorkit: 0.1.23
  • python: 3.13.7
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Models trained or fine-tuned on Papajams/control-decisions-v1