retrained
oracle_italian_food_post_hoc_unmixed_fd_retrained-training-dataoracle-results-olmo2-1b-ifao-retrained-v0eval_homelab_pick_cube_act_retrained_1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so101_follower",
"total_episodes": 6,
"total_frames": 3272,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:6"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/zaringleb/eval_homelab_pick_cube_act_retrained_1.applied-nlp-ner-stage4-retrained
Applied NLP / NER — Stage 4: Diagnose, Relabel, Retrain
Stage 2's 759 records plus 80 new corrective records targeting Stage 3
problem patterns 1 (headline-to-dateline boundary fusion), 5 (JOB over-generalization to headline
nouns/demonyms), and 6 (WORKOFART over-triggering on review title-lines, confusion with PERSON).
New records sourced from ag_news (headline format, patterns 1 & 5) and
amazon_polarity/yelp_polarity (review title-line format, pattern 6), from indices never… See the full description on the dataset page: https://huggingface.co/datasets/Ali-0111/applied-nlp-ner-stage4-retrained.eval_Build_lego_simple_retrainedThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "bi_so_follower",
"total_episodes": 0,
"total_frames": 0,
"total_tasks": 0,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/airshop/eval_Build_lego_simple_retrained.