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azithromycin
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LSY-lab_libero_plus_goal_noise_all_sawyer_failures

Tasks:
Robotics
Modalities:
Time-series
Tabular
Tags:
tsfile
timeseries
tabular
LeRobot
libero
libero-plus
License:
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Add converted TsFile dataset and metadata

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Files changed (7) hide show
  1. .gitattributes +1 -0
  2. README.md +73 -0
  3. data/libero_plus_goal_noise_all_sawyer_failures.tsfile +3 -0
  4. meta/episodes/chunk-000/file-000.parquet +3 -0
  5. meta/info.json +458 -0
  6. meta/stats.json +1179 -0
  7. meta/tasks.parquet +3 -0
.gitattributes CHANGED
@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ data/libero_plus_goal_noise_all_sawyer_failures.tsfile filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,76 @@
1
  ---
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ task_categories:
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+ - robotics
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+ tags:
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+ - tsfile
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+ - timeseries
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+ - tabular
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+ - LeRobot
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+ - libero
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+ - libero-plus
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+ - sawyer
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+ - multicam
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+ - noise
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+ modality:
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+ - timeseries
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+ - tabular
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/libero_plus_goal_noise_all_sawyer_failures.tsfile
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  ---
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+
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+ # LSY-lab Libero+ Goal Noise All Sawyer Failures (TsFile)
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+
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+ This repository contains the numeric time-series portion of the LSY-lab/libero_plus_goal_noise_all_sawyer_failures dataset converted from LeRobot Parquet to Apache TsFile. The source dataset was created with LeRobot and describes Sawyer robot demonstrations collected for the Libero+ goal-noise failure setting.
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+
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+ ## Source and attribution
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+
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+ - Publisher: Learning Systems Lab (LSY-lab)
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+ - Hugging Face contributor shown in the file history: max-chr
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+ - License: Apache-2.0
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+ - Source dataset: https://huggingface.co/datasets/LSY-lab/libero_plus_goal_noise_all_sawyer_failures
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+ - Source format: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
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+ - Sampling rate: 20 FPS
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+ - Scale: 194 episodes, 8 tasks, 42,456 frames (one train split)
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+
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+ ## TsFile contents
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+
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+ The converted file is data/libero_plus_goal_noise_all_sawyer_failures.tsfile (one merged table with 42,456 rows). Each episode_index + task_index pair is a TsFile table TAG/device identity; Time restarts at zero for each episode and is round(timestamp * 1000) in milliseconds.
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+
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+ | Role | Columns |
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+ | --- | --- |
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+ | Time | Time (INT64, milliseconds) |
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+ | TAG/device | episode_index, task_index (INT64 source identifiers) |
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+ | Integer FIELD | frame_index, sample_index (INT64) |
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+ | FLOAT FIELD | Flattened state/action columns listed below |
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+
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+ Vector columns retain their full source name (with dots replaced by underscores) and append an element index:
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+
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+ - observation.state -> observation_state_0 ... observation_state_7
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+ - observation.states.ee_state -> observation_states_ee_state_0 ... _5
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+ - observation.states.joint_state -> observation_states_joint_state_0 ... _6
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+ - observation.states.gripper_state -> observation_states_gripper_state_0 ... _1
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+ - action -> action_0 ... action_6
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+
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+ The source timestamp column is intentionally dropped because it is represented by Time; index is retained as sample_index. No source rows are dropped. Video feature columns are omitted from TsFile because TsFile stores the numeric table only.
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+
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+ ## Encoding and size
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+
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+ The converter uses the compact profile requested for this dataset: FLOAT fields use GORILLA encoding, INT32/INT64 and Time use TS_2DIFF, and physical columns use LZ4 compression. TAGs are stored through the TsFile table/device mechanism. The resulting TsFile is approximately 5.26 MB versus the 7.74 MB source Parquet frame file.
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+
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+ ## Video location and alignment
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+
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+ Videos remain in the original Hugging Face repository and are not copied here. They are stored under https://huggingface.co/datasets/LSY-lab/libero_plus_goal_noise_all_sawyer_failures/tree/main/videos with the pattern videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4. Available video keys are observation.images.frontview_image, observation.images.image, observation.images.sideview_image, and observation.images.wrist_image. Video frames align to numeric rows by episode/frame index at 20 FPS.
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+
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+ ## Reading the TsFile
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+
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+ Use the Apache TsFile SDK or a compatible table reader. For example, with the Python TsFile SDK:
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+
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+ from tsfile import TsFileReader
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+ reader = TsFileReader('data/libero_plus_goal_noise_all_sawyer_failures.tsfile')
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+ # Query/filter with the table reader API; episode_index and task_index are TAGs.
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+
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+ The mirrored meta/info.json records the source metadata and a tsfile_conversion object with the exact mapping, flattened features, row count, and original video policy.
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