--- dataset_info: features: - name: index_num dtype: int64 - name: filename dtype: string - name: s3_uri dtype: string - name: pixiv__pid dtype: int32 - name: clip__clip_aesthetic dtype: float32 - name: pixiv__likeCount dtype: float64 - name: pixiv__viewCount dtype: float64 - name: pixiv__bookmarkCount dtype: float64 - name: pixiv__aiType dtype: float64 - name: pixiv__compound_score dtype: float32 - name: caption struct: - name: alternate_tags_mid sequence: string - name: tags_back dtype: string - name: tags_front dtype: string - name: tags_front_fixed dtype: string - name: tags_mid dtype: string - name: aigccls__aigc_pred dtype: string - name: aigccls__is_likely-ai dtype: bool - name: dset__pixels dtype: float64 - name: dset__from dtype: string - name: danbooru_id dtype: float64 - name: danbooru__up_score dtype: float32 - name: danbooru__down_score dtype: float32 - name: danbooru__fav_count dtype: float32 - name: danbooru__is_banned dtype: bool - name: danbooru__tag_string_artist dtype: string - name: danbooru__tag_string_character dtype: string - name: clip__twitter_aesthetic_v2 dtype: float32 - name: comps__comp_score_pred dtype: float32 - name: resized__resized_s3_uri dtype: string - name: clip_aesthetic_2_5 dtype: float32 - name: danbooru__quality_tag dtype: string - name: twitter__favorite_count dtype: float64 - name: twitter__hashtags dtype: string - name: twitter__compound_score dtype: float64 - name: twitter__quality_tag dtype: string - name: dset__quality_tag dtype: string - name: dset__artist_occurence_count dtype: int64 - name: dset__row_cap_dict struct: - name: _resolution_tag dtype: string - name: _time_tag dtype: string - name: dset__artist_occurence_count dtype: float64 - name: quality dtype: string - name: rating dtype: string - name: tag_str_artist dtype: string - name: tag_str_character dtype: string - name: tag_str_copyright dtype: string - name: tag_str_general dtype: string - name: tag_str_meta dtype: string - name: twi_logfav_convbase__score dtype: float64 - name: edge_density dtype: float64 - name: focus_measure dtype: float64 - name: texture_score dtype: float64 - name: noise_level dtype: float64 - name: noise_level_lap dtype: float64 - name: saturation dtype: float64 - name: contrast dtype: float64 - name: brightness dtype: float64 - name: avg_dynamic_range dtype: float64 - name: filter1_kept dtype: bool - name: filter2_kept dtype: bool - name: filter3_kept dtype: bool - name: openpose__max_total_parts dtype: float64 - name: openpose__max_parts_score dtype: float64 splits: - name: train num_bytes: 112153557 num_examples: 55528 download_size: 45444791 dataset_size: 112153557 configs: - config_name: default data_files: - split: train path: data/train-* --- A sample dataset for training various image classifiers with weak supervision. data curated from full pixiv/danbooru/twitter of over 22M pool