Datasets:
Preserve per-episode task outcome labels and provenance
Browse files- .gitattributes +1 -0
- README.md +23 -0
- dataset_info.json +17 -1
- metadata/episode_outcomes.jsonl +3 -0
- metadata/episode_outcomes.schema.json +29 -0
.gitattributes
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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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metadata/episode_outcomes.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -71,6 +71,29 @@ rows = np.fromfile("<key>.bin", dtype="<f8").reshape(metadata["num_steps"], 32)
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`dataset_info.json` summarizes the release. `shards.jsonl` provides archive sizes,
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episode counts, and SHA-256 checksums. Episode metadata contains only public data fields.
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## License and attribution
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This processed release retains the upstream **Creative Commons Attribution-NonCommercial-ShareAlike
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`dataset_info.json` summarizes the release. `shards.jsonl` provides archive sizes,
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episode counts, and SHA-256 checksums. Episode metadata contains only public data fields.
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## Episode outcomes
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`metadata/episode_outcomes.jsonl` provides one metadata record per episode, joined by
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`episode_id`. The fields are `episode_outcome` (`success`, `failure`, or `unknown`)
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and `episode_outcome_source` (label provenance). A schema is provided alongside it.
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All **142,685** retained episodes have `episode_outcome: "unknown"` and
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`episode_outcome_source: "not_provided"`. The available source task annotations do
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not include explicit episode success/failure labels. Unknown must not be treated as
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success or failure. Task instructions and successful data conversion do not establish
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whether the robot completed the task; this release does not invent those labels.
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The existing TAR episode JSON members predate this metadata addition. Merge the overlay
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into each episode's metadata when loading; video and binary payloads are unchanged:
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```python
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with open("metadata/episode_outcomes.jsonl", encoding="utf-8") as stream:
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outcome_by_id = {row["episode_id"]: row for row in map(json.loads, stream)}
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metadata.update(outcome_by_id[metadata["episode_id"]])
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```
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`dataset_info.json` records the overlay counts and SHA-256 checksum.
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## License and attribution
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This processed release retains the upstream **Creative Commons Attribution-NonCommercial-ShareAlike
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dataset_info.json
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@@ -19,5 +19,21 @@
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"hours": 231.44475925925926
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}
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],
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"format": "WebDataset tar shards; one .mp4, .bin and .json per episode"
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}
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"hours": 231.44475925925926
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}
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],
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"format": "WebDataset tar shards; one .mp4, .bin and .json per episode",
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"episode_outcomes": {
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"file": "metadata/episode_outcomes.jsonl",
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"schema": "metadata/episode_outcomes.schema.json",
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"join_key": "episode_id",
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"field": "episode_outcome",
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"provenance_field": "episode_outcome_source",
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"episodes": 142685,
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"counts": {
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"success": 0,
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"failure": 0,
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"unknown": 142685
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},
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"sha256": "1a5b5774af59471335e6b13560057541cc6951424dde4f9156e31b28d52c92d1",
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"note": "Available source task annotations contain no explicit per-episode success/failure label. Outcomes are unknown; action instructions and successful data conversion are not evidence of task success.",
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"archive_members_updated": false
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}
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}
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metadata/episode_outcomes.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a5b5774af59471335e6b13560057541cc6951424dde4f9156e31b28d52c92d1
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size 22544230
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metadata/episode_outcomes.schema.json
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{
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"title": "Per-episode task outcome metadata overlay",
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"type": "object",
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"additionalProperties": false,
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"required": [
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"episode_id",
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"episode_outcome",
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"episode_outcome_source"
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],
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"properties": {
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"episode_id": {
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"type": "string",
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"pattern": "^episode-[0-9a-f]{64}$"
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},
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"episode_outcome": {
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"type": "string",
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"enum": [
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"success",
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"failure",
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"unknown"
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]
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},
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"episode_outcome_source": {
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"type": "string"
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}
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},
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"description": "Join to the archive episode JSON by episode_id. Source labels describe task outcomes, not processing or action-quality checks. Unknown means no explicit source outcome was provided; do not treat it as success or failure."
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}
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