Datasets:
Remove episode outcome metadata fields and overlays
Browse files- README.md +0 -24
- dataset_info.json +1 -17
- metadata/episode_outcomes.jsonl +0 -3
- metadata/episode_outcomes.schema.json +0 -29
README.md
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@@ -137,30 +137,6 @@ The archive members contain the exported video and state/action bytes. Episode m
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reduced to public data fields. `dataset_info.json` summarizes the release and `shards.jsonl`
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lists archive sizes, episode counts, and SHA-256 checksums.
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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 **134,537** retained episodes have `episode_outcome: "success"`, with provenance
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`source_directory:success_episodes`. Every retained episode maps to an upstream
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`success_episodes` directory; no source-labelled failure episodes occur in this subset.
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This preserves the source task-outcome label. It is not independent visual verification
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or a certification of pose, action, or video quality. Processing failures and alignment
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review flags are separate from task outcomes.
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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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## Source and license
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Upstream sources are [X-Humanoid/RoboMIND2.0-Agilex](https://modelscope.cn/datasets/X-Humanoid/RoboMIND2.0-Agilex),
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reduced to public data fields. `dataset_info.json` summarizes the release and `shards.jsonl`
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lists archive sizes, episode counts, and SHA-256 checksums.
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## Source and license
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Upstream sources are [X-Humanoid/RoboMIND2.0-Agilex](https://modelscope.cn/datasets/X-Humanoid/RoboMIND2.0-Agilex),
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dataset_info.json
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@@ -47,21 +47,5 @@
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"hours": 33.24141068607515
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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": 134537,
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"counts": {
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"success": 134537,
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"failure": 0,
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"unknown": 0
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},
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"sha256": "3a996aab4c28ca0dfc82a2ad5806bee01ff378adac38ebf9bb323109cde4edf2",
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"note": "All retained episodes are labelled successful by the upstream success_episodes directory. This preserves the source label and is not independent visual verification.",
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"archive_members_updated": false
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}
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}
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"hours": 33.24141068607515
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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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metadata/episode_outcomes.jsonl
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@@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a996aab4c28ca0dfc82a2ad5806bee01ff378adac38ebf9bb323109cde4edf2
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size 24082123
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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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