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- README.md +158 -157
- long_cable_insertion_2_raw_plus_dagger2x.yaml +0 -108
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README.md
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license: apache-2.0
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authors:
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- Ajay Sridhar
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- Source
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- Time precision: milliseconds
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- Metadata: `meta/` is mirrored from the source, with `meta/info.json` rewritten
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to document the TsFile schema, source revision, conversion mapping, and video
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- `BOOLEAN`: `RLE` + `LZ4` (no BOOLEAN FIELD occurs in this dataset)
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- `TAG`: TsFile table TAG/device segments; tag values are not duplicated as
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ordinary FIELD measurements
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## TsFile Schema
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`Time` is an INT64 millisecond timestamp computed as
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`round(timestamp * 1000)`. It restarts within each episode.
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TAG columns:
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- `episode_index` — source episode number, 0 through 537
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- `task_index` — source task number, 0 through 2
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Scalar FIELD columns:
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- `frame_index` — frame number within an episode
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- `sample_index` — the source global `index` column, renamed
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Flattened FLOAT FIELD groups:
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- `observation.state[14]` -> `observation_state_0` ... `observation_state_13`
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- `observation.velocity[14]` -> `observation_velocity_0` ... `observation_velocity_13`
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- `action[14]` -> `action_0` ... `action_13`
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The table has 47 columns including `Time`: 2 TAG columns, 44 FIELD columns,
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and the TIME column.
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## Conversion Notes
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- The shared config-driven `lerobot` converter is used with its native Python
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table writer; the dataset-specific Python file is a thin local orchestration
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and documentation entry point.
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- All 538 source frame Parquet files in the train split are merged into one
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table-model TsFile. Filter by `episode_index` and `task_index` to select a
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trajectory or routing subtask.
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- Vector columns are fully flattened into scalar fields. Full source prefixes
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are preserved and `.` is replaced with `_`.
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- The source `timestamp` column is the only published numeric source column not
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stored separately. It is redundant after the exact millisecond `Time`
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mapping (`timestamp = Time / 1000` seconds at the source's 50 Hz cadence).
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- The source `index` column is retained as `sample_index`; `frame_index` is
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retained unchanged.
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- No published frames, episodes, tasks, state dimensions, velocity dimensions,
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or action dimensions are intentionally dropped.
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## Videos
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Videos are not duplicated in the converted repository. The pinned source has
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1,614 frame-aligned MP4 files in three streams:
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- [`videos/observation.images.video_left/`](https://huggingface.co/datasets/ajaysri/long_cable_insertion_2_raw_plus_dagger2x/tree/e539e4d3a54766126424675ec3abe08f2414a60b/videos/observation.images.video_left) — 538 MP4 files
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- [`videos/observation.images.video_overhead/`](https://huggingface.co/datasets/ajaysri/long_cable_insertion_2_raw_plus_dagger2x/tree/e539e4d3a54766126424675ec3abe08f2414a60b/videos/observation.images.video_overhead) — 538 MP4 files
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- [`videos/observation.images.video_right/`](https://huggingface.co/datasets/ajaysri/long_cable_insertion_2_raw_plus_dagger2x/tree/e539e4d3a54766126424675ec3abe08f2414a60b/videos/observation.images.video_right) — 538 MP4 files
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The source template is
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`videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4`.
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Each stream contains one file for each of the 538 episodes. Numeric TsFile rows
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remain aligned with the original videos through `episode_index`, `frame_index`,
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and the source metadata under `meta/episodes/`.
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## Validation
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The generated TsFile is checked for successful native-writer completion,
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non-zero size, table schema, and row-count equality with the staged Parquet. The
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expected and validated row count is 70,596; the source contains no duplicate
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`(episode_index, task_index, Time)` keys after millisecond conversion.
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## Minimal Read Example
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```python
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from tsfile import TsFileReader
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reader = TsFileReader("data/long_cable_insertion_2_raw_plus_dagger2x_train.tsfile")
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print(reader.get_all_table_schemas()["long_cable_insertion_2_raw_plus_dagger2x_train"])
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reader.close()
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```
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## Source and License
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The source dataset is published by [Ajay Sridhar (`ajaysri`)](https://huggingface.co/ajaysri)
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under the Apache License 2.0 and was created with
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[LeRobot](https://github.com/huggingface/lerobot). The source card does not
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provide a paper or completed citation, so none is inferred here.
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---
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license: apache-2.0
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authors:
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- Ajay Sridhar
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task_categories:
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- robotics
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tags:
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- LeRobot
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- arx
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- teleop
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- long-cable
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- subtask
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- dagger
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- v3
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- tsfile
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- time-series
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- timeseries
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- robotics
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- format:tsfile
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modality:
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- tabular
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- timeseries
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pretty_name: Long Cable Insertion 2 Raw Plus DAgger 2x (TsFile)
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/long_cable_insertion_2_raw_plus_dagger2x_train.tsfile
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size_categories:
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- 10K<n<100K
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---
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# Long Cable Insertion 2 Raw Plus DAgger 2x (TsFile)
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This dataset is an Apache TsFile conversion of
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[`ajaysri/long_cable_insertion_2_raw_plus_dagger2x`](https://huggingface.co/datasets/ajaysri/long_cable_insertion_2_raw_plus_dagger2x), a LeRobot v3 ARX robot-manipulation dataset for
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long-cable routing subtasks.
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**Modalities: Time-series.** The converted repository contains numeric robot
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state, velocity, action, timing, episode/task tags, and mirrored source
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metadata. Camera videos remain in the original Hugging Face dataset.
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## Source Dataset and Author
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- Original dataset: [`ajaysri/long_cable_insertion_2_raw_plus_dagger2x`](https://huggingface.co/datasets/ajaysri/long_cable_insertion_2_raw_plus_dagger2x)
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- Pinned source revision: [`e539e4d3a54766126424675ec3abe08f2414a60b`](https://huggingface.co/datasets/ajaysri/long_cable_insertion_2_raw_plus_dagger2x/tree/e539e4d3a54766126424675ec3abe08f2414a60b)
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- Original author, repository owner, and uploader: [Ajay Sridhar (`ajaysri`)](https://huggingface.co/ajaysri)
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- License: Apache-2.0
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- Robot type: `arx`
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- LeRobot codebase version: `v3.0`
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- Sampling rate: 50 fps
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- Split: `train`, episodes 0 through 537
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- Source scale: 538 episodes, 70,596 frames, 3 tasks
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- Source frame layout: `data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet`
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- Source frame shards: 538
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- Source episode-metadata shards: 538
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- Paper, homepage, and completed citation: not provided by the source card
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The source provenance manifest reports 338 routed
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subtask episodes extracted from 114
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candidate raw HDF5 episodes, plus 200 DAgger
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episodes made as two copies of 100 source
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DAgger episodes. One raw episode was rejected during source-dataset creation
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before publication because its switch sequence failed segmentation validation;
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this TsFile conversion itself drops no published rows.
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## Tasks and Scale
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| `task_index` | Task | Episodes | Rows |
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|---:|---|---:|---:|
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| `0` | route the cable through the center router | 179 | 22,778 |
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| `1` | route the cable through the right router | 185 | 24,715 |
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| `2` | route the cable through the left router | 174 | 23,103 |
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The converted train split contains 70,596 rows across 538
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episode devices.
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## Converted Files
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- TsFile: `data/long_cable_insertion_2_raw_plus_dagger2x_train.tsfile`
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- Table: `long_cable_insertion_2_raw_plus_dagger2x_train`
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- Rows: 70,596
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- TsFile size: 10.93 MiB
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- Time precision: milliseconds
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- Metadata: `meta/` is mirrored from the source, with `meta/info.json` rewritten
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to document the TsFile schema, source revision, conversion mapping, and video
|
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- `BOOLEAN`: `RLE` + `LZ4` (no BOOLEAN FIELD occurs in this dataset)
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- `TAG`: TsFile table TAG/device segments; tag values are not duplicated as
|
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ordinary FIELD measurements
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+
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+
## TsFile Schema
|
| 102 |
+
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+
`Time` is an INT64 millisecond timestamp computed as
|
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+
`round(timestamp * 1000)`. It restarts within each episode.
|
| 105 |
+
|
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+
TAG columns:
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| 107 |
+
|
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+
- `episode_index` — source episode number, 0 through 537
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+
- `task_index` — source task number, 0 through 2
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+
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+
Scalar FIELD columns:
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+
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+
- `frame_index` — frame number within an episode
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+
- `sample_index` — the source global `index` column, renamed
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+
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+
Flattened FLOAT FIELD groups:
|
| 117 |
+
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+
- `observation.state[14]` -> `observation_state_0` ... `observation_state_13`
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| 119 |
+
- `observation.velocity[14]` -> `observation_velocity_0` ... `observation_velocity_13`
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+
- `action[14]` -> `action_0` ... `action_13`
|
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+
|
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+
The table has 47 columns including `Time`: 2 TAG columns, 44 FIELD columns,
|
| 123 |
+
and the TIME column.
|
| 124 |
+
|
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+
## Conversion Notes
|
| 126 |
+
|
| 127 |
- The shared config-driven `lerobot` converter is used with its native Python
|
| 128 |
table writer; the dataset-specific Python file is a thin local orchestration
|
| 129 |
and documentation entry point.
|
| 130 |
+
- All 538 source frame Parquet files in the train split are merged into one
|
| 131 |
+
table-model TsFile. Filter by `episode_index` and `task_index` to select a
|
| 132 |
+
trajectory or routing subtask.
|
| 133 |
+
- Vector columns are fully flattened into scalar fields. Full source prefixes
|
| 134 |
+
are preserved and `.` is replaced with `_`.
|
| 135 |
+
- The source `timestamp` column is the only published numeric source column not
|
| 136 |
+
stored separately. It is redundant after the exact millisecond `Time`
|
| 137 |
+
mapping (`timestamp = Time / 1000` seconds at the source's 50 Hz cadence).
|
| 138 |
+
- The source `index` column is retained as `sample_index`; `frame_index` is
|
| 139 |
+
retained unchanged.
|
| 140 |
+
- No published frames, episodes, tasks, state dimensions, velocity dimensions,
|
| 141 |
+
or action dimensions are intentionally dropped.
|
| 142 |
+
|
| 143 |
+
## Videos
|
| 144 |
+
|
| 145 |
+
Videos are not duplicated in the converted repository. The pinned source has
|
| 146 |
+
1,614 frame-aligned MP4 files in three streams:
|
| 147 |
+
|
| 148 |
+
- [`videos/observation.images.video_left/`](https://huggingface.co/datasets/ajaysri/long_cable_insertion_2_raw_plus_dagger2x/tree/e539e4d3a54766126424675ec3abe08f2414a60b/videos/observation.images.video_left) — 538 MP4 files
|
| 149 |
+
- [`videos/observation.images.video_overhead/`](https://huggingface.co/datasets/ajaysri/long_cable_insertion_2_raw_plus_dagger2x/tree/e539e4d3a54766126424675ec3abe08f2414a60b/videos/observation.images.video_overhead) — 538 MP4 files
|
| 150 |
+
- [`videos/observation.images.video_right/`](https://huggingface.co/datasets/ajaysri/long_cable_insertion_2_raw_plus_dagger2x/tree/e539e4d3a54766126424675ec3abe08f2414a60b/videos/observation.images.video_right) — 538 MP4 files
|
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+
|
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+
The source template is
|
| 153 |
+
`videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4`.
|
| 154 |
+
Each stream contains one file for each of the 538 episodes. Numeric TsFile rows
|
| 155 |
+
remain aligned with the original videos through `episode_index`, `frame_index`,
|
| 156 |
+
and the source metadata under `meta/episodes/`.
|
| 157 |
+
|
| 158 |
+
## Validation
|
| 159 |
+
|
| 160 |
The generated TsFile is checked for successful native-writer completion,
|
| 161 |
non-zero size, table schema, and row-count equality with the staged Parquet. The
|
| 162 |
expected and validated row count is 70,596; the source contains no duplicate
|
| 163 |
+
`(episode_index, task_index, Time)` keys after millisecond conversion.
|
| 164 |
+
|
| 165 |
+
## Minimal Read Example
|
| 166 |
+
|
| 167 |
+
```python
|
| 168 |
+
from tsfile import TsFileReader
|
| 169 |
+
|
| 170 |
+
reader = TsFileReader("data/long_cable_insertion_2_raw_plus_dagger2x_train.tsfile")
|
| 171 |
+
print(reader.get_all_table_schemas()["long_cable_insertion_2_raw_plus_dagger2x_train"])
|
| 172 |
+
reader.close()
|
| 173 |
+
```
|
| 174 |
+
|
| 175 |
+
## Source and License
|
| 176 |
+
|
| 177 |
+
The source dataset is published by [Ajay Sridhar (`ajaysri`)](https://huggingface.co/ajaysri)
|
| 178 |
+
under the Apache License 2.0 and was created with
|
| 179 |
+
[LeRobot](https://github.com/huggingface/lerobot). The source card does not
|
| 180 |
+
provide a paper or completed citation, so none is inferred here.
|
long_cable_insertion_2_raw_plus_dagger2x.yaml
DELETED
|
@@ -1,108 +0,0 @@
|
|
| 1 |
-
# ajaysri/long_cable_insertion_2_raw_plus_dagger2x
|
| 2 |
-
# LeRobot v3 ARX long-cable routing dataset.
|
| 3 |
-
# Source revision inspected on 2026-08-05:
|
| 4 |
-
# e539e4d3a54766126424675ec3abe08f2414a60b
|
| 5 |
-
|
| 6 |
-
hf_source: "ajaysri/long_cable_insertion_2_raw_plus_dagger2x"
|
| 7 |
-
subset: null
|
| 8 |
-
split: "train"
|
| 9 |
-
revision: "e539e4d3a54766126424675ec3abe08f2414a60b"
|
| 10 |
-
|
| 11 |
-
# Download numeric frame data, source metadata, the source card, and the
|
| 12 |
-
# provenance manifest. Camera videos remain in the original repository.
|
| 13 |
-
source_pattern:
|
| 14 |
-
- "data/chunk-*/*.parquet"
|
| 15 |
-
- "meta/*"
|
| 16 |
-
- "meta/**"
|
| 17 |
-
- "README.md"
|
| 18 |
-
- ".gitattributes"
|
| 19 |
-
- "long_cable_raw_plus_dagger_subtask_lerobot_v3_manifest.json"
|
| 20 |
-
|
| 21 |
-
target_name: "long_cable_insertion_2_raw_plus_dagger2x"
|
| 22 |
-
|
| 23 |
-
conversion:
|
| 24 |
-
mode: "script"
|
| 25 |
-
converter: "lerobot"
|
| 26 |
-
input_format: "parquet"
|
| 27 |
-
time_column: null
|
| 28 |
-
time_precision: "ms"
|
| 29 |
-
tag_columns: ["episode_index", "task_index"]
|
| 30 |
-
rename: {}
|
| 31 |
-
drop: []
|
| 32 |
-
script_params:
|
| 33 |
-
granularity: "merged"
|
| 34 |
-
split_from_meta: true
|
| 35 |
-
time_source: "timestamp"
|
| 36 |
-
fps: 50
|
| 37 |
-
table_name: "long_cable_insertion_2_raw_plus_dagger2x"
|
| 38 |
-
stream_staging: false
|
| 39 |
-
# Native TsFile table writer with explicit compact encodings.
|
| 40 |
-
tsfile_writer: "python"
|
| 41 |
-
encoding_profile:
|
| 42 |
-
float: "GORILLA + LZ4"
|
| 43 |
-
double: "GORILLA + LZ4"
|
| 44 |
-
int32: "TS_2DIFF + LZ4"
|
| 45 |
-
int64: "TS_2DIFF + LZ4"
|
| 46 |
-
time: "TS_2DIFF + LZ4"
|
| 47 |
-
boolean: "RLE + LZ4"
|
| 48 |
-
tag: "TsFile table TAG/device mechanism"
|
| 49 |
-
|
| 50 |
-
upload:
|
| 51 |
-
mode: "single"
|
| 52 |
-
repo_id: "jzpeng/long_cable_insertion_2_raw_plus_dagger2x"
|
| 53 |
-
|
| 54 |
-
attribution:
|
| 55 |
-
original_url: "https://huggingface.co/datasets/ajaysri/long_cable_insertion_2_raw_plus_dagger2x"
|
| 56 |
-
original_revision: "e539e4d3a54766126424675ec3abe08f2414a60b"
|
| 57 |
-
paper: null
|
| 58 |
-
license: "apache-2.0"
|
| 59 |
-
authors: "Ajay Sridhar (Hugging Face user ajaysri; source repository owner and uploader)"
|
| 60 |
-
original_author: "Ajay Sridhar"
|
| 61 |
-
original_author_url: "https://huggingface.co/ajaysri"
|
| 62 |
-
notes: |
|
| 63 |
-
The source card does not provide a completed homepage, paper, or citation.
|
| 64 |
-
The source repository and commit history identify `ajaysri` as the owner
|
| 65 |
-
and uploader; the public Hugging Face profile lists the full name Ajay
|
| 66 |
-
Sridhar.
|
| 67 |
-
|
| 68 |
-
dataset_card:
|
| 69 |
-
pretty_name: "Long Cable Insertion 2 Raw Plus DAgger 2x (TsFile)"
|
| 70 |
-
task_description: >-
|
| 71 |
-
Route a long cable through the center, right, or left router. Each episode
|
| 72 |
-
represents one routing subtask.
|
| 73 |
-
robot_type: "arx"
|
| 74 |
-
codebase_version: "v3.0"
|
| 75 |
-
total_episodes: 538
|
| 76 |
-
total_frames: 70596
|
| 77 |
-
total_tasks: 3
|
| 78 |
-
fps: 50
|
| 79 |
-
source_shards: 538
|
| 80 |
-
source_meta_episode_shards: 538
|
| 81 |
-
source_video_files: 1614
|
| 82 |
-
source_raw_episodes: 338
|
| 83 |
-
source_dagger_episodes: 200
|
| 84 |
-
source_dagger_base_episodes: 100
|
| 85 |
-
source_raw_candidate_episodes: 114
|
| 86 |
-
source_prepublication_dropped_raw_episodes: 1
|
| 87 |
-
task_index_mapping:
|
| 88 |
-
0: "route the cable through the center router"
|
| 89 |
-
1: "route the cable through the right router"
|
| 90 |
-
2: "route the cable through the left router"
|
| 91 |
-
task_episode_counts:
|
| 92 |
-
0: 179
|
| 93 |
-
1: 185
|
| 94 |
-
2: 174
|
| 95 |
-
task_row_counts:
|
| 96 |
-
0: 22778
|
| 97 |
-
1: 24715
|
| 98 |
-
2: 23103
|
| 99 |
-
video_streams:
|
| 100 |
-
- "observation.images.video_left"
|
| 101 |
-
- "observation.images.video_overhead"
|
| 102 |
-
- "observation.images.video_right"
|
| 103 |
-
video_files_per_stream: 538
|
| 104 |
-
|
| 105 |
-
local:
|
| 106 |
-
source_dir: "D:/code/py/LongCableInsertion2_raw_plus_dagger2x"
|
| 107 |
-
output_dir: "D:/code/py/LongCableInsertion2_raw_plus_dagger2x_after"
|
| 108 |
-
workdir: "D:/code/workdir/long_cable_insertion_2_raw_plus_dagger2x"
|
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