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BASF-AI/ChemHotpotQARetrieval

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Hugging Face2024-09-23 更新2025-04-12 收录
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--- dataset_info: - config_name: corpus features: - name: _id dtype: string - name: title dtype: string - name: text dtype: string splits: - name: corpus num_bytes: 3119377.729206591 num_examples: 10069 download_size: 2724264 dataset_size: 3119377.729206591 - config_name: default features: - name: query-id dtype: string - name: corpus-id dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 8786.2599 num_examples: 187 - name: dev num_bytes: 376 num_examples: 8 - name: test num_bytes: 845.3120864280892 num_examples: 18 download_size: 11033 dataset_size: 10007.571986428089 - config_name: queries features: - name: _id dtype: string - name: text dtype: string splits: - name: queries num_bytes: 28143.16582185341 num_examples: 206 download_size: 21864 dataset_size: 28143.16582185341 configs: - config_name: corpus data_files: - split: corpus path: corpus/corpus-* - config_name: default data_files: - split: train path: data/train-* - split: dev path: data/dev-* - split: test path: data/test-* - config_name: queries data_files: - split: queries path: queries/queries-* task_categories: - question-answering language: - en tags: - chemistry - wikipedia - hotpotqa - chemteb pretty_name: Chemical HotpotQA license: cc-by-nc-sa-4.0 size_categories: - 10K<n<100K --- # Chemical HotpotQA This dataset is created from the [mteb/hotpotqa](https://huggingface.co/datasets/mteb/hotpotqa) dataset on Hugging Face. [HotpotQA](https://hotpotqa.github.io/) is a multi-hop question answering dataset collected from the English Wikipedia. For this chemistry-specific subset, we filtered queries related to chemistry by starting from the chemistry category in Wikipedia and traversing up to three levels deep in linked articles. This method allowed us to focus on chemistry-related questions, creating a specialized subset of the original dataset for domain-specific tasks.
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