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Datasets:
RedMod
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recursive-v4-flash-rejected-samples-filtered-0.7thresh

Tasks:
Text Generation
Modalities:
Tabular
Text
Formats:
parquet
Size:
10K - 100K
Tags:
agentic
code
rejection-sampling
Libraries:
Datasets
Dask
Polars
License:
Dataset card Data Studio Files
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  1. README.md +29 -0
  2. data/rejected-00000.parquet +3 -0
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README.md ADDED
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+ ---
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+ license: other
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - agentic
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+ - code
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+ - rejection-sampling
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+ ---
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+
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+ # recursive-v4-flash-rejected-samples (filtered, 0.7 threshold)
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+
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+ A quality-filtered subset of `RedMod/recursive-v4-flash-rejected-samples`. These
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+ are deepseek-v4-flash trajectories that FAILED their automated tests, but were
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+ kept because an LLM grader judged the attempt substantively close to correct.
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+
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+ ## Filter
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+
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+ Each trace was graded (facts-extraction rubric) into per-trace counts. A trace is
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+ kept iff **all** hold:
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+
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+ - `artifacts_requested == artifacts_delivered` (the agent produced every requested deliverable), and
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+ - `artifacts_delivered > 0`, and
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+ - `artifacts_substantively_matching / artifacts_delivered >= 0.7`.
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+
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+ **46,731 / 86,470 traces (54.0%)** pass. Each row carries its `row_uuid`
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+ (per-trace key). Grades were produced with `openai/gpt-5.6-luna`, which is a
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+ LENIENT grader relative to a stricter baseline (e.g. claude-haiku-4.5) — treat
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+ this subset as a high-recall triage set, not a verified-positive set.
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