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surrey-nlp/General-QE

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Hugging Face2026-01-30 更新2026-02-07 收录
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https://hf-mirror.com/datasets/surrey-nlp/General-QE
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资源简介:
--- dataset_info: - config_name: en-gujarati features: - name: index dtype: int64 - name: source_text dtype: string - name: target_text dtype: string - name: scores dtype: string - name: mean dtype: float64 - name: z_scores dtype: string - name: z_mean dtype: float64 - name: domain dtype: string - name: id dtype: string - name: source_lang dtype: string - name: target_lang dtype: string - name: language_pair dtype: string splits: - name: train num_bytes: 1552393 num_examples: 2880 - name: validation num_bytes: 197184 num_examples: 360 - name: test num_bytes: 183336 num_examples: 360 download_size: 785876 dataset_size: 1932913 - config_name: en-hindi features: - name: ids dtype: string - name: source_text dtype: string - name: target_text dtype: string - name: scores dtype: string - name: mean dtype: float64 - name: z_scores dtype: string - name: z_mean dtype: float64 - name: domain dtype: string - name: id dtype: string - name: source_lang dtype: string - name: target_lang dtype: string - name: language_pair dtype: string splits: - name: train num_bytes: 2167887 num_examples: 3201 - name: validation num_bytes: 258578 num_examples: 400 - name: test num_bytes: 268338 num_examples: 401 download_size: 1200588 dataset_size: 2694803 - config_name: en-marathi features: - name: ID dtype: string - name: source_text dtype: string - name: target_text dtype: string - name: scores dtype: string - name: z_scores dtype: string - name: z_mean dtype: float64 - name: domain dtype: string - name: id dtype: string - name: source_lang dtype: string - name: target_lang dtype: string - name: language_pair dtype: string splits: - name: train num_bytes: 5965484 num_examples: 8253 - name: validation num_bytes: 735309 num_examples: 1032 - name: test num_bytes: 741242 num_examples: 1032 download_size: 3479051 dataset_size: 7442035 - config_name: en-tamil features: - name: index dtype: int64 - name: source_text dtype: string - name: target_text dtype: string - name: scores dtype: string - name: mean dtype: float64 - name: z_scores dtype: string - name: z_mean dtype: float64 - name: domain dtype: string - name: id dtype: string - name: source_lang dtype: string - name: target_lang dtype: string - name: language_pair dtype: string splits: - name: train num_bytes: 990163 num_examples: 1638 - name: validation num_bytes: 120900 num_examples: 205 - name: test num_bytes: 121868 num_examples: 205 download_size: 522506 dataset_size: 1232931 - config_name: en-telugu features: - name: index dtype: int64 - name: source_text dtype: string - name: target_text dtype: string - name: scores dtype: string - name: mean dtype: float64 - name: z_scores dtype: string - name: z_mean dtype: float64 - name: domain dtype: string - name: id dtype: string - name: source_lang dtype: string - name: target_lang dtype: string - name: language_pair dtype: string splits: - name: train num_bytes: 1619691 num_examples: 2880 - name: validation num_bytes: 195166 num_examples: 360 - name: test num_bytes: 207593 num_examples: 360 download_size: 840616 dataset_size: 2022450 configs: - config_name: en-gujarati data_files: - split: train path: en-gujarati/train-* - split: validation path: en-gujarati/validation-* - split: test path: en-gujarati/test-* - config_name: en-hindi data_files: - split: train path: en-hindi/train-* - split: validation path: en-hindi/validation-* - split: test path: en-hindi/test-* - config_name: en-marathi data_files: - split: train path: en-marathi/train-* - split: validation path: en-marathi/validation-* - split: test path: en-marathi/test-* - config_name: en-tamil data_files: - split: train path: en-tamil/train-* - split: validation path: en-tamil/validation-* - split: test path: en-tamil/test-* - config_name: en-telugu data_files: - split: train path: en-telugu/train-* - split: validation path: en-telugu/validation-* - split: test path: en-telugu/test-* --- # Dataset Card for "General-QE" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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