Datasets:
Add validated TsFile conversion from grboguz/test_lfs
#1
by jzpeng - opened
- .gitattributes +1 -0
- README.md +156 -3
- data/grboguz_test_lfs_train.tsfile +3 -0
- meta/episodes.jsonl +210 -0
- meta/episodes_stats.jsonl +0 -0
- meta/info.json +230 -0
- meta/tasks.jsonl +1 -0
.gitattributes
CHANGED
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@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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+
data/grboguz_test_lfs_train.tsfile filter=lfs diff=lfs merge=lfs -text
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README.md
CHANGED
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@@ -1,3 +1,156 @@
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-
---
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license: apache-2.0
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---
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license: apache-2.0
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authors:
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- grboguz
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task_categories:
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- robotics
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tags:
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- tsfile
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- timeseries
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- tabular
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- robotics
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- lerobot
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- sentinel_v2
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- manipulation
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- tutorial
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modality:
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- timeseries
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- tabular
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pretty_name: grboguz test_lfs 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/grboguz_test_lfs_train.tsfile
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size_categories:
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- 10K<n<100K
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---
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# grboguz/test_lfs TsFile
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This dataset is an Apache TsFile conversion of
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[`grboguz/test_lfs`](https://huggingface.co/datasets/grboguz/test_lfs), a LeRobot v2.1 sentinel_v2 robot-manipulation dataset
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containing demonstrations for the task "pick the green cube."
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Modalities: Time-series, Tabular. The converted repository contains numeric
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robot states, actions, frame timing, and episode/task tags. The two camera
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streams remain in the original Hugging Face dataset and are linked below.
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## Source Dataset and Provenance
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- Original dataset: [`grboguz/test_lfs`](https://huggingface.co/datasets/grboguz/test_lfs)
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- Pinned source revision: [`main`](https://huggingface.co/datasets/grboguz/test_lfs/tree/main)
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- Original repository creator and uploader: [grboguz](https://huggingface.co/grboguz)
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- License: Apache-2.0
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- Robot type: `sentinel_v2`
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- LeRobot codebase version: `v2.1`
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- Task: `pick the green cube` (`task_index = 0`)
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- Split: `train`
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- Sampling rate: 15 fps
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- Scale: 210 episodes, 72,677 frame rows, 1 task, 210 source Parquet files, 420 source videos
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- Source frame layout: `data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet`
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- Source video layout: `videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4`
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The source dataset card provides no paper or completed citation. The Hugging
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Face repository history attributes the source upload to the `grboguz` account.
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## Converted Files
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- TsFile: `data/grboguz_test_lfs_train.tsfile`
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- Table: `grboguz_test_lfs_train`
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- Rows: 72,677
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- Episodes/devices: 210
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- TsFile size: 1.36 MiB
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- Time precision: milliseconds
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- Metadata: `meta/` is mirrored from the source, with `meta/info.json` rewritten to describe the TsFile artifact and conversion mapping.
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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)` and restarts for each episode.
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TAG columns (stored as TsFile STRING tags while preserving the original source
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dtype in conversion metadata):
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- `episode_index`
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- `task_index`
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FIELD columns:
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- `frame_index`
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- `sample_index`
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- `observation_state_0`
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- `observation_state_1`
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- `observation_state_2`
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- `action_0`
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- `action_1`
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- `action_2`
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- `action_3`
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Flattened vector groups:
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- `observation.state` -> `observation_state_0` ... `observation_state_2` (3 FLOAT fields)
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- `action` -> `action_0` ... `action_3` (4 FLOAT fields)
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## Conversion Notes
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- The shared config-driven `lerobot` converter is used; the included
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`convert_grboguz_test_lfs.py` is the dataset-specific local entry point.
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- The train split is merged into one table-model TsFile. Filter by
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`episode_index` and `task_index` to select an episode or task.
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- Storage profile: Time uses `TS_2DIFF + LZ4`; FLOAT/DOUBLE use
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`GORILLA + LZ4`; INT32/INT64 use `TS_2DIFF + LZ4`; BOOLEAN uses
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`RLE + LZ4`. The `episode_index` and `task_index` columns remain TsFile
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table-model TAG/device columns.
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- `action[4]` and `observation.state[3]` are flattened to scalar FLOAT fields;
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the full source prefix is retained and `.` is replaced with `_`.
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- The source `timestamp` column is dropped after `Time` synthesis because it is
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redundant with `Time / 1000` seconds.
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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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- All 72,677 source rows and all 7 action/state dimensions are retained.
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## Videos
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Videos are not duplicated in this converted repository. The source contains
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two frame-aligned camera streams, each with 210 per-episode MP4 files:
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- [`observation.image`](https://huggingface.co/datasets/grboguz/test_lfs/tree/main/videos/chunk-000/observation.image) - 210 per-episode MP4 files
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- [`observation.wrist_image`](https://huggingface.co/datasets/grboguz/test_lfs/tree/main/videos/chunk-000/observation.wrist_image) - 210 per-episode MP4 files
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The numeric TsFile rows remain aligned with the original videos through
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`episode_index`, `frame_index`, and the source per-episode metadata.
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## Validation
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The generated TsFile is checked for successful tool completion, non-zero size,
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table schema, metadata row-count equality with the staged Parquet, and a query
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readback sample. See `VALIDATION.md` and `validation_report.json`.
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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/grboguz_test_lfs_train.tsfile")
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table_name = "grboguz_test_lfs_train"
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columns = [
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"episode_index",
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"task_index",
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"frame_index",
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"sample_index",
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"action_0",
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"observation_state_0",
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]
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with reader.query_table(table_name, columns, batch_size=65536) as result:
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batch = result.read_arrow_batch()
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print(batch.to_pandas().head())
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reader.close()
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```
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## Citation
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The source dataset card provides no paper or completed citation. Cite the
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original Hugging Face dataset and the `grboguz` account when using this
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converted artifact.
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data/grboguz_test_lfs_train.tsfile
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version https://git-lfs.github.com/spec/v1
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oid sha256:99cdbc5090b09d47e84b45de83356e8517662332b168ad75570826d552441b66
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size 1424914
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meta/episodes.jsonl
ADDED
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{"episode_index": 0, "tasks": ["pick the green cube"], "length": 425}
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{"episode_index": 1, "tasks": ["pick the green cube"], "length": 468}
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{"episode_index": 2, "tasks": ["pick the green cube"], "length": 418}
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{"episode_index": 3, "tasks": ["pick the green cube"], "length": 468}
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{"episode_index": 4, "tasks": ["pick the green cube"], "length": 361}
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{"episode_index": 5, "tasks": ["pick the green cube"], "length": 406}
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{"episode_index": 6, "tasks": ["pick the green cube"], "length": 381}
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{"episode_index": 7, "tasks": ["pick the green cube"], "length": 367}
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{"episode_index": 8, "tasks": ["pick the green cube"], "length": 405}
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{"episode_index": 9, "tasks": ["pick the green cube"], "length": 490}
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{"episode_index": 10, "tasks": ["pick the green cube"], "length": 389}
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{"episode_index": 11, "tasks": ["pick the green cube"], "length": 422}
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{"episode_index": 12, "tasks": ["pick the green cube"], "length": 328}
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{"episode_index": 13, "tasks": ["pick the green cube"], "length": 330}
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{"episode_index": 14, "tasks": ["pick the green cube"], "length": 314}
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{"episode_index": 15, "tasks": ["pick the green cube"], "length": 341}
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{"episode_index": 16, "tasks": ["pick the green cube"], "length": 392}
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{"episode_index": 17, "tasks": ["pick the green cube"], "length": 329}
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{"episode_index": 18, "tasks": ["pick the green cube"], "length": 424}
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{"episode_index": 19, "tasks": ["pick the green cube"], "length": 314}
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| 21 |
+
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|
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|
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|
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|
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|
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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| 112 |
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|
| 113 |
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| 114 |
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|
| 115 |
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|
| 116 |
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| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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| 122 |
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| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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| 142 |
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| 143 |
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| 144 |
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| 145 |
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| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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{"episode_index": 171, "tasks": ["pick the green cube"], "length": 381}
|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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{"episode_index": 182, "tasks": ["pick the green cube"], "length": 255}
|
| 184 |
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{"episode_index": 183, "tasks": ["pick the green cube"], "length": 290}
|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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{"episode_index": 193, "tasks": ["pick the green cube"], "length": 404}
|
| 195 |
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{"episode_index": 194, "tasks": ["pick the green cube"], "length": 364}
|
| 196 |
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{"episode_index": 195, "tasks": ["pick the green cube"], "length": 300}
|
| 197 |
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{"episode_index": 196, "tasks": ["pick the green cube"], "length": 317}
|
| 198 |
+
{"episode_index": 197, "tasks": ["pick the green cube"], "length": 385}
|
| 199 |
+
{"episode_index": 198, "tasks": ["pick the green cube"], "length": 381}
|
| 200 |
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{"episode_index": 199, "tasks": ["pick the green cube"], "length": 373}
|
| 201 |
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{"episode_index": 200, "tasks": ["pick the green cube"], "length": 450}
|
| 202 |
+
{"episode_index": 201, "tasks": ["pick the green cube"], "length": 462}
|
| 203 |
+
{"episode_index": 202, "tasks": ["pick the green cube"], "length": 347}
|
| 204 |
+
{"episode_index": 203, "tasks": ["pick the green cube"], "length": 394}
|
| 205 |
+
{"episode_index": 204, "tasks": ["pick the green cube"], "length": 413}
|
| 206 |
+
{"episode_index": 205, "tasks": ["pick the green cube"], "length": 363}
|
| 207 |
+
{"episode_index": 206, "tasks": ["pick the green cube"], "length": 355}
|
| 208 |
+
{"episode_index": 207, "tasks": ["pick the green cube"], "length": 418}
|
| 209 |
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{"episode_index": 208, "tasks": ["pick the green cube"], "length": 475}
|
| 210 |
+
{"episode_index": 209, "tasks": ["pick the green cube"], "length": 403}
|
meta/episodes_stats.jsonl
ADDED
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meta/info.json
ADDED
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"codebase_version": "v2.1",
|
| 3 |
+
"robot_type": "sentinel_v2",
|
| 4 |
+
"total_episodes": 210,
|
| 5 |
+
"total_frames": 72677,
|
| 6 |
+
"total_tasks": 1,
|
| 7 |
+
"total_videos": 420,
|
| 8 |
+
"total_chunks": 1,
|
| 9 |
+
"chunks_size": 1000,
|
| 10 |
+
"fps": 15,
|
| 11 |
+
"splits": {
|
| 12 |
+
"train": "0:210"
|
| 13 |
+
},
|
| 14 |
+
"data_path": "data/grboguz_test_lfs_train.tsfile",
|
| 15 |
+
"features": {
|
| 16 |
+
"Time": {
|
| 17 |
+
"dtype": "int64",
|
| 18 |
+
"shape": [
|
| 19 |
+
1
|
| 20 |
+
],
|
| 21 |
+
"tsfile_role": "TIME",
|
| 22 |
+
"unit": "ms"
|
| 23 |
+
},
|
| 24 |
+
"episode_index": {
|
| 25 |
+
"dtype": "string",
|
| 26 |
+
"shape": [
|
| 27 |
+
1
|
| 28 |
+
],
|
| 29 |
+
"tsfile_role": "TAG",
|
| 30 |
+
"source_dtype": "int64"
|
| 31 |
+
},
|
| 32 |
+
"task_index": {
|
| 33 |
+
"dtype": "string",
|
| 34 |
+
"shape": [
|
| 35 |
+
1
|
| 36 |
+
],
|
| 37 |
+
"tsfile_role": "TAG",
|
| 38 |
+
"source_dtype": "int64"
|
| 39 |
+
},
|
| 40 |
+
"frame_index": {
|
| 41 |
+
"dtype": "int64",
|
| 42 |
+
"shape": [
|
| 43 |
+
1
|
| 44 |
+
],
|
| 45 |
+
"tsfile_role": "FIELD"
|
| 46 |
+
},
|
| 47 |
+
"sample_index": {
|
| 48 |
+
"dtype": "int64",
|
| 49 |
+
"shape": [
|
| 50 |
+
1
|
| 51 |
+
],
|
| 52 |
+
"tsfile_role": "FIELD"
|
| 53 |
+
},
|
| 54 |
+
"observation_state_0": {
|
| 55 |
+
"dtype": "float32",
|
| 56 |
+
"shape": [
|
| 57 |
+
1
|
| 58 |
+
],
|
| 59 |
+
"tsfile_role": "FIELD"
|
| 60 |
+
},
|
| 61 |
+
"observation_state_1": {
|
| 62 |
+
"dtype": "float32",
|
| 63 |
+
"shape": [
|
| 64 |
+
1
|
| 65 |
+
],
|
| 66 |
+
"tsfile_role": "FIELD"
|
| 67 |
+
},
|
| 68 |
+
"observation_state_2": {
|
| 69 |
+
"dtype": "float32",
|
| 70 |
+
"shape": [
|
| 71 |
+
1
|
| 72 |
+
],
|
| 73 |
+
"tsfile_role": "FIELD"
|
| 74 |
+
},
|
| 75 |
+
"action_0": {
|
| 76 |
+
"dtype": "float32",
|
| 77 |
+
"shape": [
|
| 78 |
+
1
|
| 79 |
+
],
|
| 80 |
+
"tsfile_role": "FIELD"
|
| 81 |
+
},
|
| 82 |
+
"action_1": {
|
| 83 |
+
"dtype": "float32",
|
| 84 |
+
"shape": [
|
| 85 |
+
1
|
| 86 |
+
],
|
| 87 |
+
"tsfile_role": "FIELD"
|
| 88 |
+
},
|
| 89 |
+
"action_2": {
|
| 90 |
+
"dtype": "float32",
|
| 91 |
+
"shape": [
|
| 92 |
+
1
|
| 93 |
+
],
|
| 94 |
+
"tsfile_role": "FIELD"
|
| 95 |
+
},
|
| 96 |
+
"action_3": {
|
| 97 |
+
"dtype": "float32",
|
| 98 |
+
"shape": [
|
| 99 |
+
1
|
| 100 |
+
],
|
| 101 |
+
"tsfile_role": "FIELD"
|
| 102 |
+
}
|
| 103 |
+
},
|
| 104 |
+
"video_path_original": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
|
| 105 |
+
"tsfile_conversion": {
|
| 106 |
+
"source_dataset": "grboguz/test_lfs",
|
| 107 |
+
"source_data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
|
| 108 |
+
"converted_data_path": "data/grboguz_test_lfs_train.tsfile",
|
| 109 |
+
"table_name": "grboguz_test_lfs_train",
|
| 110 |
+
"granularity": "per_split",
|
| 111 |
+
"time_precision": "ms",
|
| 112 |
+
"time_mapping": {
|
| 113 |
+
"source": "timestamp",
|
| 114 |
+
"fps": 15,
|
| 115 |
+
"unit": "milliseconds"
|
| 116 |
+
},
|
| 117 |
+
"tag_columns": [
|
| 118 |
+
"episode_index",
|
| 119 |
+
"task_index"
|
| 120 |
+
],
|
| 121 |
+
"row_count": 72677,
|
| 122 |
+
"feature_source": "features describe the converted TsFile schema",
|
| 123 |
+
"flattened_features": {
|
| 124 |
+
"observation.state": [
|
| 125 |
+
"observation_state_0",
|
| 126 |
+
"observation_state_1",
|
| 127 |
+
"observation_state_2"
|
| 128 |
+
],
|
| 129 |
+
"action": [
|
| 130 |
+
"action_0",
|
| 131 |
+
"action_1",
|
| 132 |
+
"action_2",
|
| 133 |
+
"action_3"
|
| 134 |
+
]
|
| 135 |
+
},
|
| 136 |
+
"renamed_features": {
|
| 137 |
+
"index": "sample_index"
|
| 138 |
+
},
|
| 139 |
+
"dropped_features": [
|
| 140 |
+
"timestamp"
|
| 141 |
+
],
|
| 142 |
+
"omitted_features": [
|
| 143 |
+
"observation.image",
|
| 144 |
+
"observation.wrist_image"
|
| 145 |
+
],
|
| 146 |
+
"original_video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
|
| 147 |
+
"original_video_features": {
|
| 148 |
+
"observation.image": {
|
| 149 |
+
"dtype": "video",
|
| 150 |
+
"shape": [
|
| 151 |
+
3,
|
| 152 |
+
256,
|
| 153 |
+
256
|
| 154 |
+
],
|
| 155 |
+
"names": [
|
| 156 |
+
"channels",
|
| 157 |
+
"height",
|
| 158 |
+
"width"
|
| 159 |
+
],
|
| 160 |
+
"info": {
|
| 161 |
+
"video.height": 256,
|
| 162 |
+
"video.width": 256,
|
| 163 |
+
"video.codec": "av1",
|
| 164 |
+
"video.pix_fmt": "yuv420p",
|
| 165 |
+
"video.is_depth_map": false,
|
| 166 |
+
"video.fps": 15,
|
| 167 |
+
"video.channels": 3,
|
| 168 |
+
"has_audio": false
|
| 169 |
+
}
|
| 170 |
+
},
|
| 171 |
+
"observation.wrist_image": {
|
| 172 |
+
"dtype": "video",
|
| 173 |
+
"shape": [
|
| 174 |
+
3,
|
| 175 |
+
256,
|
| 176 |
+
256
|
| 177 |
+
],
|
| 178 |
+
"names": [
|
| 179 |
+
"channels",
|
| 180 |
+
"height",
|
| 181 |
+
"width"
|
| 182 |
+
],
|
| 183 |
+
"info": {
|
| 184 |
+
"video.height": 256,
|
| 185 |
+
"video.width": 256,
|
| 186 |
+
"video.codec": "av1",
|
| 187 |
+
"video.pix_fmt": "yuv420p",
|
| 188 |
+
"video.is_depth_map": false,
|
| 189 |
+
"video.fps": 15,
|
| 190 |
+
"video.channels": 3,
|
| 191 |
+
"has_audio": false
|
| 192 |
+
}
|
| 193 |
+
}
|
| 194 |
+
},
|
| 195 |
+
"original_video_source": "https://huggingface.co/datasets/grboguz/test_lfs/tree/main/videos",
|
| 196 |
+
"video_policy": "Videos are not uploaded to this repository; use the original HuggingFace dataset videos.",
|
| 197 |
+
"source_revision": "main",
|
| 198 |
+
"source_author": {
|
| 199 |
+
"name": "grboguz",
|
| 200 |
+
"huggingface_user": "grboguz",
|
| 201 |
+
"url": "https://huggingface.co/grboguz"
|
| 202 |
+
},
|
| 203 |
+
"task_index_mapping": {
|
| 204 |
+
"0": "pick the green cube"
|
| 205 |
+
},
|
| 206 |
+
"source_video_file_count": 420,
|
| 207 |
+
"source_video_files_per_stream": 210,
|
| 208 |
+
"source_video_bytes": null,
|
| 209 |
+
"source_video_streams": [
|
| 210 |
+
"observation.image",
|
| 211 |
+
"observation.wrist_image"
|
| 212 |
+
],
|
| 213 |
+
"storage_profile": {
|
| 214 |
+
"time_encoding": "TS_2DIFF",
|
| 215 |
+
"time_compression": "LZ4",
|
| 216 |
+
"float_encoding": "GORILLA",
|
| 217 |
+
"float_compression": "LZ4",
|
| 218 |
+
"double_encoding": "GORILLA",
|
| 219 |
+
"double_compression": "LZ4",
|
| 220 |
+
"int32_encoding": "TS_2DIFF",
|
| 221 |
+
"int32_compression": "LZ4",
|
| 222 |
+
"int64_encoding": "TS_2DIFF",
|
| 223 |
+
"int64_compression": "LZ4",
|
| 224 |
+
"boolean_encoding": "RLE",
|
| 225 |
+
"boolean_compression": "LZ4",
|
| 226 |
+
"tag_storage": "TsFile table-model device/tag columns"
|
| 227 |
+
},
|
| 228 |
+
"frame_video_alignment": "episode_index and frame_index preserve alignment with the original per-episode MP4 files and source episode metadata."
|
| 229 |
+
}
|
| 230 |
+
}
|
meta/tasks.jsonl
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"task_index": 0, "task": "pick the green cube"}
|