chore: sync metadata, drop original files

README.md

@@ -1,66 +1,72 @@
----
-license: apache-2.0
-task_categories:
-- robotics
-tags:
-- LeRobot
-- tsfile
-- format:tsfile
-- time-series
-modality:
-- timeseries
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/first_task_short.tsfile
----
-
-# first_task_short (TsFile)
-
-Apache TsFile version of [`pietroom/first_task_short`](https://huggingface.co/datasets/pietroom/first_task_short).
-
-## Overview
-
-This dataset is a LeRobot v2.1 dataset of an SO-100 arm (a short first-task recording).
-
-- **Robot:** SO-100 (so100)
-- **Scale:** 90 episodes, 53,830 frames, 30 fps
-- **Split:** train
-- **Cameras (not uploaded):** `laptop`, `phone`
-
-## Schema (TsFile structure)
-
-The TsFile table is named `first_task_short`.
-
-| Role | Columns |
-| --- | --- |
-| Time | `Time`, INT64 milliseconds |
-| TAG | `episode_index`, `task_index` |
-| FIELD | `frame_index`, `sample_index` |
-| FIELD | `action_0` … `action_5`, FLOAT |
-| FIELD | `observation_state_0` … `observation_state_5`, FLOAT |
-
-Vector columns are flattened into scalar FLOAT measurements (single precision). The source `index` column is retained as `sample_index`.
-
-## Conversion notes
-
-- `Time = round(timestamp * 1000)` with millisecond precision; time restarts inside each episode, while `episode_index` and `task_index` identify the TsFile device.
-- The original `timestamp` field is omitted because it is exactly represented by `Time / 1000`.
-- Camera video streams are NOT included in this repository; they remain in the [source videos tree](https://huggingface.co/datasets/pietroom/first_task_short/tree/main/videos).
-- `meta/` is mirrored from the source. Aside from the redundant `timestamp` column and the excluded videos, no source rows or numeric fields are dropped.
-
-## Read example
-
-```python
-from tsfile import TsFileReader
-
-with TsFileReader("data/first_task_short.tsfile") as reader:
-    print(reader.get_all_table_schemas()["first_task_short"])
-```
-
-## Source & license
-
-- Original dataset: https://huggingface.co/datasets/pietroom/first_task_short
-- Author: pietroom
-- License: apache-2.0
+---
+license: apache-2.0
+task_categories:
+- robotics
+tags:
+- LeRobot
+- so100
+- tutorial
+- tsfile
+- format:tsfile
+- time-series
+- timeseries
+modality:
+- tabular
+- timeseries
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/first_task_short.tsfile
+size_categories:
+- 10K<n<100K
+---
+
+# first_task_short (TsFile)
+
+Apache TsFile version of [`pietroom/first_task_short`](https://huggingface.co/datasets/pietroom/first_task_short).
+
+## Overview
+
+This dataset is a LeRobot v2.1 dataset of an SO-100 arm (a short first-task recording).
+
+- **Robot:** SO-100 (so100)
+- **Scale:** 90 episodes, 53,830 frames, 30 fps
+- **Split:** train
+- **Cameras (not uploaded):** `laptop`, `phone`
+
+## Schema (TsFile structure)
+
+The TsFile table is named `first_task_short`.
+
+| Role | Columns |
+| --- | --- |
+| Time | `Time`, INT64 milliseconds |
+| TAG | `episode_index`, `task_index` |
+| FIELD | `frame_index`, `sample_index` |
+| FIELD | `action_0` … `action_5`, FLOAT |
+| FIELD | `observation_state_0` … `observation_state_5`, FLOAT |
+
+Vector columns are flattened into scalar FLOAT measurements (single precision). The source `index` column is retained as `sample_index`.
+
+## Conversion notes
+
+- `Time = round(timestamp * 1000)` with millisecond precision; time restarts inside each episode, while `episode_index` and `task_index` identify the TsFile device.
+- The original `timestamp` field is omitted because it is exactly represented by `Time / 1000`.
+- Camera video streams are NOT included in this repository; they remain in the [source videos tree](https://huggingface.co/datasets/pietroom/first_task_short/tree/main/videos).
+- `meta/` is mirrored from the source. Aside from the redundant `timestamp` column and the excluded videos, no source rows or numeric fields are dropped.
+
+## Read example
+
+```python
+from tsfile import TsFileReader
+
+with TsFileReader("data/first_task_short.tsfile") as reader:
+    print(reader.get_all_table_schemas()["first_task_short"])
+```
+
+## Source & license
+
+- Original dataset: https://huggingface.co/datasets/pietroom/first_task_short
+- Author: pietroom
+- License: apache-2.0

meta/episodes.jsonl

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-{"episode_index": 0, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 1, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 2, "tasks": ["Pass the marker."], "length": 599}
-{"episode_index": 3, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 4, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 5, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 6, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 7, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 8, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 9, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 10, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 11, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 12, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 13, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 14, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 15, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 16, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 17, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 18, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 19, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 20, "tasks": ["Pass the marker."], "length": 599}
-{"episode_index": 21, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 22, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 23, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 24, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 25, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 26, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 27, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 28, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 29, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 30, "tasks": ["Pass the marker."], "length": 599}
-{"episode_index": 31, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 32, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 33, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 34, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 35, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 36, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 37, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 38, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 39, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 40, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 41, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 42, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 43, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 44, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 45, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 46, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 47, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 48, "tasks": ["Pass the marker."], "length": 598}
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-{"episode_index": 50, "tasks": ["Pass the marker."], "length": 599}
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-{"episode_index": 52, "tasks": ["Pass the marker."], "length": 599}
-{"episode_index": 53, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 54, "tasks": ["Pass the marker."], "length": 599}
-{"episode_index": 55, "tasks": ["Pass the marker."], "length": 599}
-{"episode_index": 56, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 57, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 58, "tasks": ["Pass the marker."], "length": 598}
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-{"episode_index": 60, "tasks": ["Pass the marker."], "length": 598}
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-{"episode_index": 62, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 63, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 64, "tasks": ["Pass the marker."], "length": 599}
-{"episode_index": 65, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 66, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 67, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 68, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 69, "tasks": ["Pass the marker."], "length": 599}
-{"episode_index": 70, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 71, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 72, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 73, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 74, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 75, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 76, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 77, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 78, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 79, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 80, "tasks": ["Pass the marker."], "length": 598}
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-{"episode_index": 88, "tasks": ["Pass the marker."], "length": 598}
-{"episode_index": 89, "tasks": ["Pass the marker."], "length": 598}

meta/tasks.jsonl

@@ -1 +0,0 @@
-{"task_index": 0, "task": "Pass the marker."}