yuan-yang/MALLS-v0
MALLS NL-FOL Pairs Dataset details MALLS (large language Model generAted natural-Language-to-first-order-Logic pairS) consists of pairs of real-world natural language (NL) statements and the corresponding first-order logic (FOL) rules annotations. All pairs are generated by prompting GPT-4 and processed to ensure the validity of the FOL rules. MALLS-v0 consists of the original 34K NL-FOL pairs. We validate FOL rules in terms of syntactical correctness, but we did… See the full description on the dataset page: https://huggingface.co/datasets/yuan-yang/MALLS-v0.
| Author / organization | yuan-yang |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 239 (as reported by Hugging Face) |
| Likes | 18 |
| Created | 31 May 2023 |
| Last updated at source | 25 October 2023 |
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- teaislife/Qwen3-4B-nl2folModel · used to train
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- 17 Oct 2026 Description: MALLS NL-FOL Pairs Dataset details MALLS (large language Model generAted natural-Language-to-first-order-Logic pairS) consists of pairs of real-world natural language (NL) statements and the corresponding first-order logic (FOL) rules annot → MALLS NL-FOL Pairs Dataset details MALLS (large language Model generAted natural-Language-to-first-order-Logic pairS) consists of pairs of real-world natural language (NL) statements and the corresponding first-order logic (FOL) rules annot
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