Datasets:
File size: 1,038 Bytes
5694d85 a199dac 5694d85 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | ---
license: cc-by-4.0
tags:
- instruction-following
- sft
- data-mentions
- extraction
configs:
- config_name: default
data_files:
- split: train
path: train.jsonl
- split: val
path: val.jsonl
- split: holdout
path: holdout.jsonl
---
# Data-mention extraction SFT
Single-task ChatML `messages` dataset for data-mention extraction, built
from the GLiNER2 labels in `rafmacalaba/data-use-mentions`. Static
instructions live in the `system` message; dynamic text in the `user`
message; the assistant emits compact JSON
`{"data_mentions":[{"data_mention":"<span>","specificity_type":"named|descriptive|vague"}]}` (or
`{"data_mentions":[]}` when none qualify).
Each row also carries `corpus` (`prwp` or `fcv`) and `origin` (e.g.
`general_prwp`, `fcv_pads_east_asia`, `jdc_operational`, `refugee_pads`,
`reliefweb`) for corpus/origin-filtered training. Filter with
`finetune_lfm2_data_mention.py --corpus prwp` (or `--origin ...`).
`{"train": 59970, "val": 12325, "holdout": 12531}`
|