Add TsFile (converted from pietroom/first_task_short)

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

README.md

@@ -0,0 +1,66 @@
+---
+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

data/first_task_short.tsfile

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e6a2d8874b858f359e115ab402bb0b693e3598f13545c7213f0835b59666d390
+size 1064693

meta/episodes.jsonl

@@ -0,0 +1,90 @@
+{"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}
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+{"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}
+{"episode_index": 49, "tasks": ["Pass the marker."], "length": 598}
+{"episode_index": 50, "tasks": ["Pass the marker."], "length": 599}
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+{"episode_index": 60, "tasks": ["Pass the marker."], "length": 598}
+{"episode_index": 61, "tasks": ["Pass the marker."], "length": 598}
+{"episode_index": 62, "tasks": ["Pass the marker."], "length": 598}
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+{"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}
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+{"episode_index": 75, "tasks": ["Pass the marker."], "length": 598}
+{"episode_index": 76, "tasks": ["Pass the marker."], "length": 598}
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+{"episode_index": 86, "tasks": ["Pass the marker."], "length": 598}
+{"episode_index": 87, "tasks": ["Pass the marker."], "length": 598}
+{"episode_index": 88, "tasks": ["Pass the marker."], "length": 598}
+{"episode_index": 89, "tasks": ["Pass the marker."], "length": 598}

meta/info.json

@@ -0,0 +1,236 @@
+{
+  "codebase_version": "v2.1",
+  "robot_type": "so100",
+  "total_episodes": 90,
+  "total_frames": 53830,
+  "total_tasks": 1,
+  "total_videos": 180,
+  "total_chunks": 1,
+  "chunks_size": 1000,
+  "fps": 30,
+  "splits": {
+    "train": "0:90"
+  },
+  "data_path": "data/first_task_short.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
+      ],
+      "tsfile_role": "TAG"
+    },
+    "frame_index": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "sample_index": {
+      "dtype": "int64",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "action_0": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "action_1": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "action_2": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "action_3": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "action_4": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "action_5": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "observation_state_0": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "observation_state_1": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "observation_state_2": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "observation_state_3": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "observation_state_4": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    },
+    "observation_state_5": {
+      "dtype": "float32",
+      "shape": [
+        1
+      ],
+      "tsfile_role": "FIELD"
+    }
+  },
+  "video_path_original": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
+  "tsfile_conversion": {
+    "source_dataset": "pietroom/first_task_short",
+    "source_data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
+    "converted_data_path": "data/first_task_short.tsfile",
+    "table_name": "first_task_short",
+    "granularity": "merged",
+    "time_precision": "ms",
+    "time_mapping": {
+      "source": "auto",
+      "fps": 30,
+      "unit": "milliseconds"
+    },
+    "tag_columns": [
+      "episode_index",
+      "task_index"
+    ],
+    "row_count": 53830,
+    "feature_source": "features describe the converted TsFile schema",
+    "flattened_features": {
+      "action": [
+        "action_0",
+        "action_1",
+        "action_2",
+        "action_3",
+        "action_4",
+        "action_5"
+      ],
+      "observation.state": [
+        "observation_state_0",
+        "observation_state_1",
+        "observation_state_2",
+        "observation_state_3",
+        "observation_state_4",
+        "observation_state_5"
+      ]
+    },
+    "renamed_features": {
+      "index": "sample_index"
+    },
+    "dropped_features": [
+      "timestamp"
+    ],
+    "omitted_features": [
+      "observation.images.laptop",
+      "observation.images.phone"
+    ],
+    "original_video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
+    "original_video_features": {
+      "observation.images.laptop": {
+        "dtype": "video",
+        "shape": [
+          480,
+          640,
+          3
+        ],
+        "names": [
+          "height",
+          "width",
+          "channels"
+        ],
+        "info": {
+          "video.fps": 30.0,
+          "video.height": 480,
+          "video.width": 640,
+          "video.channels": 3,
+          "video.codec": "av1",
+          "video.pix_fmt": "yuv420p",
+          "video.is_depth_map": false,
+          "has_audio": false
+        }
+      },
+      "observation.images.phone": {
+        "dtype": "video",
+        "shape": [
+          480,
+          640,
+          3
+        ],
+        "names": [
+          "height",
+          "width",
+          "channels"
+        ],
+        "info": {
+          "video.fps": 30.0,
+          "video.height": 480,
+          "video.width": 640,
+          "video.channels": 3,
+          "video.codec": "av1",
+          "video.pix_fmt": "yuv420p",
+          "video.is_depth_map": false,
+          "has_audio": false
+        }
+      }
+    },
+    "original_video_source": "https://huggingface.co/datasets/pietroom/first_task_short/tree/main/videos",
+    "video_policy": "Videos are not uploaded to this repository; use the original HuggingFace dataset videos."
+  }
+}

meta/tasks.jsonl

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