Dataset · Text generation
sanctions-screening-match
by Muhammad Usman Siddiqui 316usman/sanctions-screening-match
A preference dataset for SANCTIONSSCREENINGMATCH, harvested from real, human-labelled sources and curated by an automated harvesting harness with an LLM quality gate.
Dataset Card
A preference dataset for SANCTIONSSCREENINGMATCH, harvested from real, human-labelled sources and curated by an automated harvesting harness with an LLM quality gate. Standard preference / DPO schema — each row: 80/10/10 train / validation / test (seeded shuffle): train:1553 / validation:194 / test:195 - 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/106690…
Excerpt from the card by Muhammad Usman Siddiqui, licensed unknown.
Structure
default 1,942 rows
| Split | Rows | Size |
|---|---|---|
| train | 1,553 | 1.8 MB |
| validation | 194 | 265.1 KB |
| test | 195 | 289.7 KB |
Details
- Repository
- 316usman/sanctions-screening-match
- Publisher
- Muhammad Usman Siddiqui
- Task category
- Text generation
- Tags
- preference, dpo, reward-model
- Size category
- 1K<n<10K
- Languages
- dpo
- Revision
- 680aa8d0f98cb387854ccf48b56a4805488015e0
- Last updated
- 2026-10-14
Files
5 files, 1.3 MB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| data/test-00000-of-00001.parquet | Data | 167.3 KB | ac416f30033c |
| data/train-00000-of-00001.parquet | Data | 963.5 KB | f8e22a66297c |
| data/validation-00000-of-00001.parquet | Data | 152.8 KB | a394dcd7785a |
| README.md | Documentation | 2.7 KB | — |
| .gitattributes | Repository | 2.5 KB | — |
License and Download
- License
- unknown
- Access
- No access gate
Released by Muhammad Usman Siddiqui through its official repository on Hugging Face.