jhu-clsp/FollowIR-train
Dataset Summary FollowIR-train contains ~1800 query and instruction pairs, with labels for relevance (true or false). It can be used to train retrieval models to better follow instructions (see FollowIR-7B). The dataset was created by taking instruction and query pairs from all TREC tracks (which provides instructions as "narratives") from 1993-on that provided these instructions. Synthetic documents were then created from GPT-3.5-Turbo-1106 and filtered using… See the full description on the dataset page: https://huggingface.co/datasets/jhu-clsp/FollowIR-train.
| Author / organization | jhu-clsp |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 282 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 19 March 2024 |
| Last updated at source | 25 March 2024 |
Popularity, last 2 days
282 now (+22 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/FollowIR-7B-GGUFModel · used to train
- mradermacher/FollowIR-7B-i1-GGUFModel · used to train
- jhu-clsp/FollowIR-7BModel · used to train
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