--- dataset_info: - config_name: multiscale_rt_critics features: - name: movie_title dtype: string - name: publisher_name dtype: string - name: critic_name dtype: string - name: text dtype: string - name: review_score dtype: string - name: grade_type dtype: string - name: orig_num dtype: float32 - name: orig_denom dtype: float32 - name: includes_zero dtype: bool - name: label dtype: uint8 - name: scale_points dtype: uint8 - name: multiplier dtype: uint8 - name: task_ids dtype: uint32 splits: - name: train num_bytes: 6182241 num_examples: 28982 - name: test num_bytes: 2059468 num_examples: 9676 download_size: 4281825 dataset_size: 8241709 - config_name: rt_critics_big_irregular_5 features: - name: movie_title dtype: string - name: publisher_name dtype: string - name: critic_name dtype: string - name: text dtype: string - name: review_score dtype: string - name: grade_type dtype: string - name: orig_num dtype: float32 - name: orig_denom dtype: float32 - name: includes_zero dtype: bool - name: label dtype: uint8 - name: scale_points dtype: uint8 - name: multiplier dtype: uint8 - name: task_ids dtype: uint32 - name: orig_group_id dtype: uint32 splits: - name: train num_bytes: 2336759 num_examples: 10312 - name: test num_bytes: 781228 num_examples: 3441 download_size: 1538084 dataset_size: 3117987 - config_name: rt_critics_by_critic_1000pl features: - name: movie_title dtype: string - name: publisher_name dtype: string - name: critic_name dtype: string - name: text dtype: string - name: review_score dtype: string - name: grade_type dtype: string - name: orig_num dtype: float32 - name: orig_denom dtype: float32 - name: includes_zero dtype: bool - name: label dtype: uint8 - name: scale_points dtype: uint8 - name: multiplier dtype: uint8 - name: task_ids dtype: uint32 - name: orig_group_id dtype: uint32 splits: - name: train num_bytes: 27083039 num_examples: 124055 - name: test num_bytes: 9049344 num_examples: 41406 download_size: 18069261 dataset_size: 36132383 - config_name: rt_critics_by_critic_500pl features: - name: movie_title dtype: string - name: publisher_name dtype: string - name: critic_name dtype: string - name: text dtype: string - name: review_score dtype: string - name: grade_type dtype: string - name: orig_num dtype: float32 - name: orig_denom dtype: float32 - name: includes_zero dtype: bool - name: label dtype: uint8 - name: scale_points dtype: uint8 - name: multiplier dtype: uint8 - name: task_ids dtype: uint32 - name: orig_group_id dtype: uint32 splits: - name: train num_bytes: 41656780 num_examples: 189382 - name: test num_bytes: 13929707 num_examples: 63263 download_size: 28032449 dataset_size: 55586487 - config_name: rt_critics_one features: - name: movie_title dtype: string - name: publisher_name dtype: string - name: critic_name dtype: string - name: text dtype: string - name: review_score dtype: string - name: grade_type dtype: string - name: orig_num dtype: float32 - name: orig_denom dtype: float32 - name: includes_zero dtype: bool - name: label dtype: uint8 - name: scale_points dtype: uint8 - name: multiplier dtype: uint8 splits: - name: train num_bytes: 988767 num_examples: 4606 - name: test num_bytes: 327725 num_examples: 1536 download_size: 759436 dataset_size: 1316492 configs: - config_name: multiscale_rt_critics data_files: - split: train path: multiscale_rt_critics/train-* - split: test path: multiscale_rt_critics/test-* - config_name: rt_critics_big_irregular_5 data_files: - split: train path: rt_critics_big_irregular_5/train-* - split: test path: rt_critics_big_irregular_5/test-* - config_name: rt_critics_by_critic_1000pl data_files: - split: train path: rt_critics_by_critic_1000pl/train-* - split: test path: rt_critics_by_critic_1000pl/test-* - config_name: rt_critics_by_critic_500pl data_files: - split: train path: rt_critics_by_critic_500pl/train-* - split: test path: rt_critics_by_critic_500pl/test-* - config_name: rt_critics_one data_files: - split: train path: rt_critics_one/train-* - split: test path: rt_critics_one/test-* --- # Dataset Card for "multiscale_rt_critics_subsets" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)