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+*.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
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+*.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/apayan_so100_ball8.tsfile filter=lfs diff=lfs merge=lfs -text

README.md

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----
-license: apache-2.0
----
+---
+license: apache-2.0
+authors:
+- "Adrien Payan"
+task_categories:
+- robotics
+tags:
+- tsfile
+- timeseries
+- tabular
+- robotics
+- lerobot
+- so100
+- manipulation
+modality:
+- timeseries
+- tabular
+pretty_name: "SO100 Ball8 TsFile"
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/apayan_so100_ball8.tsfile
+size_categories:
+- 100K<n<1M
+---
+
+# SO100 Ball8 TsFile
+
+Apache TsFile conversion of [`apayan/so100_ball8`](https://huggingface.co/datasets/apayan/so100_ball8), a LeRobot v2.1 SO100 dataset
+for "Grasp object and put it in the box." Numeric observations, actions, timing,
+and episode/task metadata are included; camera videos remain upstream.
+
+## Source facts
+
+- Author/uploader: [Adrien Payan](https://huggingface.co/apayan)
+- License: Apache-2.0; pinned revision: [`f318cc9490b327bd1382e29c528f7d7348aa4716`](https://huggingface.co/datasets/apayan/so100_ball8/tree/f318cc9490b327bd1382e29c528f7d7348aa4716)
+- Robot: `so100`; split: `train`; sampling rate: 30 fps; task index `0`
+- 104 episodes, 110,416 frames, 1 task, 104 source Parquet shards
+- Source layout: `data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet`
+- Current metadata is authoritative; source README embeds a stale 5-episode/5,992-frame example.
+
+## Converted artifact
+
+- TsFile: `data/apayan_so100_ball8.tsfile`; table: `apayan_so100_ball8`
+- Rows: 110,416; TAG devices: 104; size: 1.14 MiB (source Parquet: 4.58 MiB)
+- `meta/` is mirrored; `meta/info.json` documents the TsFile mapping and video policy.
+
+## Schema and conversion
+
+`Time = round(timestamp * 1000)` integer milliseconds, restarting per episode.
+Source `timestamp` is dropped because it equals `Time / 1000` seconds. Rows
+are sorted by `episode_index`, `task_index`, `Time`; `frame_index` is retained.
+
+TAG/device columns: `episode_index`, `task_index` (source INT64, native TsFile TAG/device mechanism).
+
+FIELD columns: `frame_index`, `sample_index` (renamed from `index`),
+`action_0..action_5`, and `observation_state_0..observation_state_5` (FLOAT32).
+No numeric rows, episodes, tasks, or vector dimensions are dropped.
+
+Encoding/compression: FLOAT/DOUBLE -> GORILLA + LZ4; INT32/INT64 -> TS_2DIFF +
+LZ4; Time -> TS_2DIFF + LZ4; BOOLEAN -> RLE + LZ4 (no BOOLEAN source fields).
+
+## Videos
+
+Videos are not included here. The source has 312 MP4 files (104 episodes x
+three 30-fps streams):
+- [`observation.images.front`](https://huggingface.co/datasets/apayan/so100_ball8/tree/f318cc9490b327bd1382e29c528f7d7348aa4716/videos/chunk-000/observation.images.front)
+- [`observation.images.top`](https://huggingface.co/datasets/apayan/so100_ball8/tree/f318cc9490b327bd1382e29c528f7d7348aa4716/videos/chunk-000/observation.images.top)
+- [`observation.images.wrist`](https://huggingface.co/datasets/apayan/so100_ball8/tree/f318cc9490b327bd1382e29c528f7d7348aa4716/videos/chunk-000/observation.images.wrist)
+
+Template: `videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4`.
+Use `episode_index` and `frame_index` to align rows with source video frames;
+`meta/episodes.jsonl` is mirrored.
+
+## Validation
+
+All 104 Parquet schemas matched and the staged table exactly matched the
+independent transformation. TsFile inspection found one table, 2 TAG columns,
+14 FIELD columns, and 110,416 metadata rows; query readback returned
+110,416 rows. Reports remain local at
+`D:/code/workdir/apayan_so100_ball8/validation_report.json` and
+`D:/code/workdir/apayan_so100_ball8/VALIDATION.md`.
+
+## Minimal read example
+
+```python
+from tsfile import TsFileReader
+reader = TsFileReader("data/apayan_so100_ball8.tsfile")
+columns = ["episode_index", "task_index", "frame_index", "sample_index", "action_0", "observation_state_0"]
+with reader.query_table("apayan_so100_ball8", columns, batch_size=65536) as result:
+    print(result.read_arrow_batch().to_pandas().head())
+reader.close()
+```
+
+The source card provides no paper or completed citation; cite the original
+Hugging Face dataset and Adrien Payan (`apayan`).