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Dataset · Hugging Face

jordanlin/memory_layers

CorpusQA-Films — aggregation-QA dataset (v1) Synthetic corpus-level aggregation questions over English Wikipedia film articles, with self-distilled chain-of-thought. Built to train the memory-layers model (frozen Qwen3-4B + learnable retrieval/memory layer). Formatted to match ragrawal36/multihop_qa_sft-hard-neg-cot. Files (HF-ready) file schema rows corpusqa_films_qa.parquet question:str, answer:str, pos_doc_ids:list<int32>, neg_doc_ids:list<int32>… See the full description on the dataset page: https://huggingface.co/datasets/jordanlin/memory_layers.

Author / organizationjordanlin
Downloads417 (as reported by Hugging Face)
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Created17 September 2026
Last updated at source25 September 2026
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