Add files using upload-large-folder tool

.gitattributes

@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+data/eval2_compositional_augmented.tsfile filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,90 @@
+---
+pretty_name: eval2_compositional_augmented TsFile
+tags:
+- TsFile
+- time-series
+- robotics
+- LeRobot
+- SO-101
+- imitation-learning
+modality: timeseries
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/eval2_compositional_augmented.tsfile
+---
+
+# eval2_compositional_augmented
+
+This dataset was converted from
+[`robot-learning-group47/eval2_compositional_augmented`](https://huggingface.co/datasets/robot-learning-group47/eval2_compositional_augmented)
+to Apache TsFile format.
+
+Modalities: Time-series.
+
+## Source Dataset
+
+- Original dataset: [`robot-learning-group47/eval2_compositional_augmented`](https://huggingface.co/datasets/robot-learning-group47/eval2_compositional_augmented)
+- Source format: LeRobot v3 parquet frames with metadata and one front-camera video stream
+- Robot type: `so_follower`
+- Split: `train`
+- Episodes: 720
+- Frames / TsFile rows: 161,780
+- Tasks: 22
+- Sampling rate: 15 fps
+
+The source contains compositional prompt augmentations for banana-and-bowl
+manipulation tasks. The file `combo_augmented_map.csv` is included with this
+conversion and maps prompt-combination groups to source and augmented episode
+ranges.
+
+## Files
+
+- `data/eval2_compositional_augmented.tsfile`: converted numeric time-series table
+- `meta/`: source metadata mirrored from the original dataset, with `meta/info.json`
+  rewritten to describe the converted TsFile layout
+- `combo_augmented_map.csv`: source augmentation map
+
+Videos are not included in this repository. The original camera video stream
+`observation.images.front` remains in the source dataset under
+[`videos/`](https://huggingface.co/datasets/robot-learning-group47/eval2_compositional_augmented/tree/main/videos).
+
+## Schema
+
+The TsFile table name is `eval2_compositional_augmented`.
+
+- `Time`: integer timestamp in milliseconds, synthesized as `round(timestamp * 1000)`
+- TAG columns: `episode_index`, `task_index`
+- FIELD columns: `frame_index`, `sample_index`, `action_0..action_5`,
+  `observation_state_0..observation_state_5`
+
+The six action and observation-state dimensions use the original LeRobot joint
+order: `shoulder_pan.pos`, `shoulder_lift.pos`, `elbow_flex.pos`,
+`wrist_flex.pos`, `wrist_roll.pos`, and `gripper.pos`.
+
+## Conversion Notes
+
+- Converted with the generic `lerobot` converter in the HuggingFace-to-TsFile
+  pipeline.
+- All 720 episodes are stored in one TsFile. Use `episode_index` and
+  `task_index` as device TAG filters when querying.
+- Source `action[6]` was flattened to `action_0..action_5` as FLOAT fields.
+- Source `observation.state[6]` was flattened to `observation_state_0..5` as
+  FLOAT fields.
+- Source `index` was renamed to `sample_index`.
+- Source `timestamp` is not retained as a separate field because the same
+  information is represented by `Time / 1000` seconds.
+- Source video field `observation.images.front` is omitted from this TsFile
+  conversion and remains available in the original dataset.
+- No rows were dropped.
+
+## Minimal Read Example
+
+```python
+from tsfile import TsFileReader
+
+reader = TsFileReader("data/eval2_compositional_augmented.tsfile")
+schemas = reader.get_all_table_schemas()
+print(schemas.keys())
+```

combo_augmented_map.csv

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+combo,episode_start,episode_end,new_ep_start,prompts
+bgr_b,0,5,0,6
+bgr_g,6,11,36,8
+bgr_r,12,17,84,6
+brg_b,18,23,120,6
+brg_g,24,29,156,6
+brg_r,30,35,192,8
+gbr_b,36,41,240,8
+gbr_g,42,47,288,6
+gbr_r,48,53,324,6
+grb_b,54,59,360,6
+grb_g,60,65,396,6
+grb_r,66,71,432,8
+rbg_b,72,77,480,8
+rbg_g,78,83,528,6
+rbg_r,84,89,564,6
+rgb_b,90,95,600,6
+rgb_g,96,101,636,8
+rgb_r,102,107,684,6

data/eval2_compositional_augmented.tsfile

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+oid sha256:c7e2aa85aa6ab93f83749be5e906e210889312475d79949303d89830cd455c55
+size 3175202

meta/episodes/chunk-000/file-000.parquet

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+oid sha256:6a4fb4b76861979ccebfdf7ebed3ae2b25b6da2765e2257f5f689e12e3e722d6
+size 74250

meta/info.json

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+{
+  "codebase_version": "v3.0",
+  "robot_type": "so_follower",
+  "total_episodes": 720,
+  "total_frames": 161780,
+  "total_tasks": 22,
+  "chunks_size": 1000,
+  "data_files_size_in_mb": 100,
+  "video_files_size_in_mb": 200,
+  "fps": 15,
+  "splits": {
+    "train": "0:720"
+  },
+  "data_path": "data/eval2_compositional_augmented.tsfile",
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+      "tsfile_role": "TAG"
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+  "video_path_original": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
+  "tsfile_conversion": {
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+    "video_policy": "Videos are not uploaded to this repository; use the original HuggingFace dataset videos."
+  }
+}

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meta/tasks.jsonl

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+{"task_index": 0, "task": "Put the banana in the blue colored bowl."}
+{"task_index": 1, "task": "Put the banana into the 1st bowl from the left from the robot perspective."}
+{"task_index": 2, "task": "Put the banana into the 3rd bowl from the right from the robot perspective."}
+{"task_index": 3, "task": "Put the banana into the bowl on the left of the green bowl from the robot perspective."}
+{"task_index": 4, "task": "Put the banana into the bowl that is not green and not red."}
+{"task_index": 5, "task": "Put the banana into the bowl that is not red and not green."}
+{"task_index": 6, "task": "Put the banana in the green colored bowl."}
+{"task_index": 7, "task": "Put the banana into the 2nd bowl from the left from the robot perspective."}
+{"task_index": 8, "task": "Put the banana into the 2nd bowl from the right from the robot perspective."}
+{"task_index": 9, "task": "Put the banana into the middle bowl from the robot perspective."}
+{"task_index": 10, "task": "Put the banana into the bowl on the right of the blue bowl from the robot perspective."}
+{"task_index": 11, "task": "Put the banana into the bowl on the left of the red bowl from the robot perspective."}
+{"task_index": 12, "task": "Put the banana into the bowl that is not blue and not red."}
+{"task_index": 13, "task": "Put the banana into the bowl that is not red and not blue."}
+{"task_index": 14, "task": "Put the banana in the red colored bowl."}
+{"task_index": 15, "task": "Put the banana into the 3rd bowl from the left from the robot perspective."}
+{"task_index": 16, "task": "Put the banana into the 1st bowl from the right from the robot perspective."}
+{"task_index": 17, "task": "Put the banana into the bowl on the right of the green bowl from the robot perspective."}
+{"task_index": 18, "task": "Put the banana into the bowl that is not blue and not green."}
+{"task_index": 19, "task": "Put the banana into the bowl that is not green and not blue."}
+{"task_index": 20, "task": "Put the banana into the bowl on the right of the red bowl from the robot perspective."}
+{"task_index": 21, "task": "Put the banana into the bowl on the left of the blue bowl from the robot perspective."}

meta/tasks.parquet

@@ -0,0 +1,3 @@
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+oid sha256:501755ba68137b008240f4f6cef44a083d11df37b6c4132bbf2d55959ceb2811
+size 2690