CoolFace
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316usman/sanctions-screening-match

SANCTIONS_SCREENING_MATCH A preference dataset for SANCTIONS_SCREENING_MATCH, harvested from real, human-labelled sources and curated by an automated harvesting harness with an LLM quality gate. Format Standard preference / DPO schema — each row: column meaning prompt the request (originally prompt) chosen the human-preferred response rejected a worse response to the same prompt source the dataset/URL the row was harvested from… See the full description on the dataset page: https://huggingface.co/datasets/316usman/sanctions-screening-match.

sourceHugging Faceunknownupdated 9d agoView on Hugging Face
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SANCTIONSSCREENINGMATCH

A preference dataset for SANCTIONS_SCREENING_MATCH, harvested from real, human-labelled sources and curated by an automated harvesting harness with an LLM quality gate.

Format

Standard preference / DPO schema — each row:

columnmeaning
promptthe request (originally prompt)
chosenthe human-preferred response
rejecteda worse response to the same prompt
sourcethe dataset/URL the row was harvested from

Splits

80/10/10 train / validation / test (seeded shuffle): train:1201 / validation:150 / test:151

Stats

  • —Rows: 1502
  • —Distinct sources: 77

Sources

  • —https://law.stackexchange.com/questions/103190
  • —https://law.stackexchange.com/questions/103256
  • —https://law.stackexchange.com/questions/104418
  • —https://law.stackexchange.com/questions/104851
  • —https://law.stackexchange.com/questions/105647
  • —https://law.stackexchange.com/questions/105745
  • —https://law.stackexchange.com/questions/106488
  • —https://law.stackexchange.com/questions/106609
  • —https://law.stackexchange.com/questions/106690
  • —https://law.stackexchange.com/questions/107621
  • —https://law.stackexchange.com/questions/108258
  • —https://law.stackexchange.com/questions/108537
  • —https://law.stackexchange.com/questions/110330
  • —https://law.stackexchange.com/questions/110502
  • —https://law.stackexchange.com/questions/113683
  • —https://law.stackexchange.com/questions/114326
  • —https://law.stackexchange.com/questions/114596
  • —https://law.stackexchange.com/questions/114622
  • —https://law.stackexchange.com/questions/115315
  • —https://law.stackexchange.com/questions/115385

Provenance

Each row's chosen/rejected distinction comes from a real human signal (upvotes, accepted answers, ratings, or a real strong-vs-weak reply). Rows passed an automated quality gate checking that chosen is a clean response (not a transcript), the chosen/rejected contrast is about quality (not length), and the row is on-intent.