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Datasets:
1g0rrr
/
merged_valid

Tasks:
Robotics
Modalities:
Tabular
Time-series
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
robotics
manipulation
lerobot
v2.1
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Dask
License:
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action
sequence
observation.state
sequence
timestamp
float32
frame_index
int64
episode_index
int64
index
int64
task_index
int64
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66
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1
456
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2.333333
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1
459
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75
1
464
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2.533333
76
1
465
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2.566667
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1
466
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2.6
78
1
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2.633333
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1
468
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2.666667
80
1
469
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2.7
81
1
470
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2.733333
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1
471
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1
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2.8
84
1
473
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2.833333
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1
474
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1
475
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1
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2.933333
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1
477
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2.966667
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1
478
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3
90
1
479
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3.033333
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1
480
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1
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3.166667
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1
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3.233333
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3.266667
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3.3
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End of preview. Expand in Data Studio
YAML Metadata Warning: The task_ids "manipulation" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, text2text-generation, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation

Dataset Card for 1g0rrr/merged_valid

Dataset Structure

This dataset follows the LeRobot v2.1 format with the following structure:

  • meta/info.json: Dataset metadata and configuration
  • meta/episodes.jsonl: Episode information including tasks and lengths
  • meta/tasks.jsonl: Task descriptions and indices
  • meta/episodes_stats.jsonl: Per-episode statistics
  • data/chunk_*/episode_*.parquet: Episode data files
  • videos/chunk_*/video_key_*/episode_*.mp4: Video files (if present)

Usage

This dataset can be loaded using the LeRobot dataset loader:

from lerobot.common.datasets.lerobot_dataset import LeRobotDataset

dataset = LeRobotDataset("1g0rrr/merged_valid")
Downloads last month
23
Repository:
1g0rrr/merged_valid
Version:
v2.1
Robot Type:
so100
Total Episodes:
125
Total Frames:
40525
Total Tasks:
2
Total Videos:
250
FPS:
30
Size of downloaded dataset files:
1.39 MB
Size of the auto-converted Parquet files:
1.39 MB
Number of rows:
22,730