Add validated TsFile dataset card and config

.gitattributes

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-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
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-*.mp3 filter=lfs diff=lfs merge=lfs -text
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-# Image files - uncompressed
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-*.gif filter=lfs diff=lfs merge=lfs -text
-*.png filter=lfs diff=lfs merge=lfs -text
-*.tiff filter=lfs diff=lfs merge=lfs -text
-# Image files - compressed
-*.jpg filter=lfs diff=lfs merge=lfs -text
-*.jpeg filter=lfs diff=lfs merge=lfs -text
-*.webp 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
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp 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/cornito_so101_tea2.tsfile filter=lfs diff=lfs merge=lfs -text

Cornito_so101_tea2.yaml

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+# Cornito/so101_tea2 - LeRobot v2.1 SO101 tea-making demonstrations.
+# Pinned source revision: 3da2ed9f4d512bf7b5e06821a7a9c70d9c416c99
+# Numeric trajectories are converted to one table-model TsFile. The 202 source
+# MP4 files remain in the original Hugging Face repository and are linked from
+# the generated dataset card.
+
+hf_source: "Cornito/so101_tea2"
+subset: null
+split: "train"
+revision: "3da2ed9f4d512bf7b5e06821a7a9c70d9c416c99"
+
+source_pattern:
+  - "data/chunk-*/*.parquet"
+  - "meta/*"
+  - "meta/**"
+  - "README.md"
+  - ".gitattributes"
+
+target_name: "cornito_so101_tea2"
+
+conversion:
+  mode: "script"
+  converter: "lerobot"
+  input_format: "parquet"
+  time_column: null
+  time_precision: "ms"
+  tag_columns: ["episode_index", "task_index"]
+  rename: {}
+  drop: []
+  script_params:
+    granularity: "merged"
+    split_from_meta: false
+    time_source: "timestamp"
+    fps: 30
+    table_name: "cornito_so101_tea2"
+    stream_staging: false
+    storage_profile:
+      time_encoding: "TS_2DIFF"
+      time_compression: "LZ4"
+      float_encoding: "GORILLA"
+      float_compression: "ZSTD"
+      double_encoding: "GORILLA"
+      double_compression: "ZSTD"
+      int32_encoding: "TS_2DIFF"
+      int32_compression: "ZSTD"
+      int64_encoding: "TS_2DIFF"
+      int64_compression: "ZSTD"
+      boolean_encoding: "RLE"
+      boolean_compression: "LZ4"
+      tag_storage: "TsFile table-model device/tag columns"
+
+upload:
+  mode: "single"
+  repo_id: "azithromycin/Cornito_so101_tea2"
+
+attribution:
+  original_url: "https://huggingface.co/datasets/Cornito/so101_tea2"
+  original_revision: "3da2ed9f4d512bf7b5e06821a7a9c70d9c416c99"
+  paper: null
+  license: "apache-2.0"
+  authors: "Corneille Marechal (Hugging Face user Cornito; repository creator and uploader)"
+  original_author: "Corneille Marechal"
+  original_author_url: "https://huggingface.co/Cornito"
+  notes: |
+    The source card contains no paper or completed citation. The dataset is
+    published by Cornito, whose Hugging Face profile identifies the author as
+    Corneille Marechal. Numeric rows remain aligned with the two original
+    per-episode video streams through episode_index and frame_index.
+
+dataset_card:
+  pretty_name: "Cornito SO101 Tea2 TsFile"
+  task_description: "SO101 robot demonstrations for the task: Make tea."
+  robot_type: "so101"
+  codebase_version: "v2.1"
+  total_episodes: 101
+  total_frames: 78833
+  total_tasks: 1
+  total_videos: 202
+  total_chunks: 1
+  fps: 30
+  source_shards: 101
+  source_parquet_bytes: 3468189
+  source_video_files: 202
+  video_files_per_stream: 101
+  source_video_bytes: 2239705274
+  original_author: "Corneille Marechal"
+  original_author_url: "https://huggingface.co/Cornito"
+  modalities:
+    - "Time-series"
+    - "Tabular"
+  video_streams:
+    - name: "observation.images.phone"
+      files: 101
+      bytes: 1623417441
+    - name: "observation.images.wrist"
+      files: 101
+      bytes: 616287833
+  source_data_path: "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet"
+  source_video_path: "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4"
+  task_index_mapping:
+    0: "Make tea"
+
+local:
+  source_dir: "D:/code/py/Cornito_so101_tea2"
+  output_dir: "D:/code/py/Cornito_so101_tea2_after"
+  allowed_output_parent: "D:/code/py"
+  workdir: "D:/code/workdir/Cornito_so101_tea2"

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+authors:
+- Corneille Marechal
+task_categories:
+- robotics
+tags:
+- tsfile
+- timeseries
+- tabular
+- robotics
+- lerobot
+- so101
+- manipulation
+- tea-making
+modality:
+- timeseries
+- tabular
+pretty_name: Cornito SO101 Tea2 TsFile
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/cornito_so101_tea2.tsfile
+size_categories:
+- 10K<n<100K
+---
+
+# Cornito SO101 Tea2 TsFile
+
+This dataset is an Apache TsFile conversion of
+[`Cornito/so101_tea2`](https://huggingface.co/datasets/Cornito/so101_tea2), a LeRobot v2.1 SO101 robot-manipulation dataset
+containing 101 demonstrations for the task **Make tea**.
+
+The converted repository contains numeric robot states, actions, frame timing,
+and episode/task tags. The two camera streams remain in the original Hugging
+Face dataset and are linked below.
+
+## Source Dataset and Provenance
+
+- Original dataset: [`Cornito/so101_tea2`](https://huggingface.co/datasets/Cornito/so101_tea2)
+- Pinned source revision: [`3da2ed9f4d512bf7b5e06821a7a9c70d9c416c99`](https://huggingface.co/datasets/Cornito/so101_tea2/tree/3da2ed9f4d512bf7b5e06821a7a9c70d9c416c99)
+- Original repository creator and uploader: [Corneille Marechal (`Cornito`)](https://huggingface.co/Cornito)
+- License: Apache-2.0
+- Robot type: `so101`
+- LeRobot codebase version: `v2.1`
+- Task: `Make tea` (`task_index = 0`)
+- Split: `train`
+- Sampling rate: 30 fps
+- Scale: 101 episodes, 78,833 frame rows, 1 task, 101 source Parquet files, 202 source videos
+- Source frame layout: `data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet`
+- Source video layout: `videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4`
+
+The source dataset card provides no paper or completed citation.
+
+## Converted Files
+
+- TsFile: `data/cornito_so101_tea2.tsfile`
+- Table: `cornito_so101_tea2`
+- Rows: 78,833
+- Episodes/devices: 101
+- TsFile size: 0.86 MiB
+- Numeric source Parquet size: 3.31 MiB
+- TsFile/Parquet size ratio: 0.2615
+- Time precision: milliseconds
+- Metadata: `meta/` is mirrored from the source, with `meta/info.json` rewritten for the TsFile artifact.
+
+## TsFile Schema
+
+`Time` is an INT64 millisecond timestamp computed as
+`round(timestamp * 1000)` and restarts at zero for each episode.
+
+TAG columns, stored through the TsFile table-model device/tag mechanism:
+
+- `episode_index`
+- `task_index`
+
+FIELD columns:
+
+- `frame_index`
+- `sample_index`
+- `action_0`
+- `action_1`
+- `action_2`
+- `action_3`
+- `action_4`
+- `action_5`
+- `observation_state_0`
+- `observation_state_1`
+- `observation_state_2`
+- `observation_state_3`
+- `observation_state_4`
+- `observation_state_5`
+
+Flattened vector groups:
+
+- `action` -> `action_0` ... `action_5` (6 FLOAT fields)
+- `observation.state` -> `observation_state_0` ... `observation_state_5` (6 FLOAT fields)
+
+## Conversion Notes
+
+- The train split is merged into one table-model TsFile. Filter by
+  `episode_index` and `task_index` to select an episode or task.
+- Storage profile: Time uses `TS_2DIFF + LZ4`; FLOAT/DOUBLE use
+  `GORILLA + ZSTD`; INT32/INT64 use `TS_2DIFF + ZSTD`; BOOLEAN, if present,
+  uses `RLE + LZ4`. Physical codecs were checked from the generated TsFile.
+- `episode_index` and `task_index` are TsFile TAG/device columns.
+- `action[6]` and `observation.state[6]` are flattened to scalar FLOAT fields;
+  the full source prefix is retained and `.` is replaced with `_`.
+- The source `timestamp` column is dropped after `Time` synthesis because it is
+  redundant with `Time / 1000` seconds.
+- The source `index` column is retained as `sample_index`; `frame_index` is retained unchanged.
+- No rows or numeric trajectory dimensions are dropped.
+- Source video features are intentionally omitted from the TsFile because they are external MP4 assets.
+
+## Videos
+
+Videos are not duplicated in this converted repository. The pinned source
+contains two frame-aligned camera streams:
+
+- [`observation.images.phone`](https://huggingface.co/datasets/Cornito/so101_tea2/tree/3da2ed9f4d512bf7b5e06821a7a9c70d9c416c99/videos/chunk-000/observation.images.phone) - 101 per-episode MP4 files, 1,623,417,441 bytes
+- [`observation.images.wrist`](https://huggingface.co/datasets/Cornito/so101_tea2/tree/3da2ed9f4d512bf7b5e06821a7a9c70d9c416c99/videos/chunk-000/observation.images.wrist) - 101 per-episode MP4 files, 616,287,833 bytes
+
+Together the 202 MP4 files occupy 2,239,705,274 bytes. Numeric
+rows remain aligned with the original videos through `episode_index`,
+`frame_index`, and the source per-episode metadata.
+
+## Validation
+
+The generated TsFile passed row-count equality, schema/TAG checks, per-device
+Time monotonicity, Java full-table readback, physical codec inspection, and file-size
+comparison against the 101 source Parquet shards. Local JSON and Markdown
+validation reports are retained with the conversion workspace and are not part
+of the eventual Hugging Face upload set.
+
+## Minimal Read Example
+
+```python
+from tsfile import TsFileReader
+
+reader = TsFileReader("data/cornito_so101_tea2.tsfile")
+columns = [
+    "episode_index",
+    "task_index",
+    "frame_index",
+    "sample_index",
+    "action_0",
+    "observation_state_0",
+]
+
+with reader.query_table("cornito_so101_tea2", columns, batch_size=65536) as result:
+    batch = result.read_arrow_batch()
+    print(batch.to_pandas().head())
+reader.close()
+```
+
+## Citation
+
+The source dataset card provides no paper or completed BibTeX citation. Cite
+the original Hugging Face dataset and Corneille Marechal (`Cornito`) when using
+this converted artifact.