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/taco_play.tsfile filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,98 @@
+---
+license: cc-by-4.0
+task_categories:
+- robotics
+tags:
+- LeRobot
+- TsFile
+- time-series
+- robotics
+- modality:timeseries
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/taco_play.tsfile
+---
+
+# taco_play
+
+Converted from the Hugging Face dataset
+[`lerobot/taco_play`](https://huggingface.co/datasets/lerobot/taco_play) to
+Apache TsFile format.
+
+Modalities: Time-series.
+
+## Source Dataset
+
+The source TACO Play dataset was created using
+[LeRobot](https://github.com/huggingface/lerobot). The original dataset page
+links to the Kaggle homepage at https://www.kaggle.com/datasets/oiermees/taco-robot
+and the papers https://arxiv.org/abs/2209.08959 and
+https://arxiv.org/abs/2210.01911.
+
+- License: cc-by-4.0
+- Source scale: 3,603 episodes, 237,798 frames, 406 tasks, 15 fps
+- Source robot type: `unknown`
+- Source video streams: `observation.images.rgb_static` and
+  `observation.images.rgb_gripper`
+
+## Converted Files
+
+- `data/taco_play.tsfile`: one TsFile table containing all train episodes
+- `meta/info.json`: source metadata rewritten to describe the TsFile artifact
+- `meta/stats.json`, `meta/tasks.parquet`, `meta/episodes/chunk-000/file-000.parquet`:
+  source metadata mirrored for reference
+
+Videos are not included in this repository. They remain in the original Hugging
+Face dataset under
+https://huggingface.co/datasets/lerobot/taco_play/tree/main/videos.
+
+## TsFile Schema
+
+- `Time`: millisecond timestamp, synthesized as `round(timestamp * 1000)`.
+- TAG columns: `episode_index`, `task_index`.
+- FIELD columns: `frame_index`, `sample_index`, `next_reward`, `next_done`,
+  `observation_state_0..observation_state_6`, and `action_0..action_6`.
+
+Vector columns preserve the source column name with `.` replaced by `_`, then
+append the element index. `observation.state[7]` becomes
+`observation_state_0..observation_state_6`; `action[7]` becomes
+`action_0..action_6`. Vector values are stored as single-precision FLOAT.
+
+The source `timestamp` column is dropped because it is redundant with `Time`.
+The source `index` column is renamed to `sample_index`. Source video feature
+columns are omitted from the TsFile table and remain available in the original
+dataset.
+
+## Read Example
+
+Use the Apache TsFile Java or Python SDK to read:
+
+```text
+data/taco_play.tsfile
+```
+
+The table name is `taco_play`. Query a single episode by filtering the TAG:
+
+```sql
+WHERE episode_index = 0
+```
+
+## Citation
+
+```bibtex
+@inproceedings{rosete2022tacorl,
+    author = {Erick Rosete-Beas and Oier Mees and Gabriel Kalweit and Joschka Boedecker and Wolfram Burgard},
+    title = {Latent Plans for Task Agnostic Offline Reinforcement Learning},
+    journal = {Proceedings of the 6th Conference on Robot Learning (CoRL)},
+    year = {2022}
+}
+@inproceedings{mees23hulc2,
+    title = {Grounding Language with Visual Affordances over Unstructured Data},
+    author = {Oier Mees and Jessica Borja-Diaz and Wolfram Burgard},
+    booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
+    year = {2023},
+    address = {London, UK}
+}
+```

data/taco_play.tsfile

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+size 18409814

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

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meta/info.json

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+{
+  "codebase_version": "v3.0",
+  "robot_type": "unknown",
+  "total_episodes": 3603,
+  "total_frames": 237798,
+  "total_tasks": 406,
+  "chunks_size": 1000,
+  "fps": 15,
+  "splits": {
+    "train": "0:3603"
+  },
+  "data_path": "data/taco_play.tsfile",
+  "features": {
+    "Time": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "TIME",
+      "unit": "ms"
+    },
+    "episode_index": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "TAG"
+    },
+    "task_index": {
+      "dtype": "int64",
+      "shape": [
+        1
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+      "tsfile_role": "TAG"
+    },
+    "frame_index": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "sample_index": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "next_reward": {
+      "dtype": "float32",
+      "shape": [
+        1
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+      "tsfile_role": "FIELD"
+    },
+    "next_done": {
+      "dtype": "bool",
+      "shape": [
+        1
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+      "tsfile_role": "FIELD"
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+  "video_files_size_in_mb": 500,
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+  "tsfile_conversion": {
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+    "source_data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
+    "converted_data_path": "data/taco_play.tsfile",
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+    "granularity": "merged",
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+    "video_policy": "Videos are not uploaded to this repository; use the original HuggingFace dataset videos."
+  }
+}

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