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--- |
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dataset_info: |
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features: |
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- name: question |
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dtype: string |
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- name: answer |
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list: |
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- name: aliases |
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sequence: string |
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- name: normalized_aliases |
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sequence: string |
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- name: primed_question |
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sequence: string |
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|
- name: greedy_ans |
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sequence: string |
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|
- name: p_greed |
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|
sequence: bool |
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|
- name: Category |
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|
dtype: string |
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|
- name: para |
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|
sequence: string |
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|
- name: para_len |
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|
dtype: float64 |
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|
- name: is_para |
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dtype: bool |
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splits: |
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- name: full |
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num_bytes: 190118286 |
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num_examples: 21036 |
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download_size: 20380670 |
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dataset_size: 190118286 |
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configs: |
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- config_name: default |
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data_files: |
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- split: full |
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path: data/full-* |
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task_categories: |
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- question-answering |
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--- |
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Dataset for paper “How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?” |
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Based on DBpedia dataset |
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[Paper](https://huggingface.co/papers/2502.14502), [Code](https://github.com/AIRI-Institute/knowledge-packing) |
