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jensjepsen/danish-icl-schema-format-v1

danish-icl-json-v1 In-context-learning rows derived from jensjepsen/danish-json-grpo-v1. Each row packs 1-5 worked examples sharing a JSON schema into a single user turn, followed by a held-out passage; the assistant turn is the answer for that passage. No instruction is included, so the schema and the output format have to be inferred from the examples. In roughly half the rows the field names are replaced by meaning-free symbols (alfa/beta/..., kat_a/..., f1/..., foo/bar/...)… See the full description on the dataset page: https://huggingface.co/datasets/jensjepsen/danish-icl-schema-format-v1.

sourceHugging Faceapache-2.0updated 29d agoView on Hugging Face
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danish-icl-json-v1

In-context-learning rows derived from jensjepsen/danish-json-grpo-v1. Each row packs 1-5 worked examples sharing a JSON schema into a single user turn, followed by a held-out passage; the assistant turn is the answer for that passage. No instruction is included, so the schema and the output format have to be inferred from the examples. In roughly half the rows the field names are replaced by meaning-free symbols (alfa/beta/..., kat_a/..., f1/..., foo/bar/...), applied consistently within a row. The eval split uses schemas that do not appear in train; the val split reuses train schemas but is built from source passages that occur in neither other split. All values are rendered from the source dataset's gold_values rather than generated, and rows are filtered so that every value is recoverable from its own passage and every key, boolean value and notation appearing in the answer is demonstrated by at least one example. Built by scripts/gen_icl_json.py.