Add RoboInter atomic-skill segment annotations (annotations only; CC BY-NC-SA 4.0; derived from InternRobotics/RoboInter-Data)

.gitattributes

@@ -58,3 +58,5 @@ 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
+annotation.json filter=lfs diff=lfs merge=lfs -text
+qwen/text.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: cc-by-nc-sa-4.0
+language:
+- en
+task_categories:
+- robotics
+- video-classification
+tags:
+- robotics
+- robot-manipulation
+- atomic-skills
+- skill-segmentation
+- video-understanding
+- robointer
+- automark
+pretty_name: RoboInter Atomic-Skill Segment Annotations (AutoMark)
+size_categories:
+- 100K<n<1M
+---
+
+# RoboInter Atomic-Skill Segment Annotations (AutoMark)
+
+Atomic-skill segment **annotations only** for robot-manipulation videos, curated by the
+[**AutoMark**](https://github.com/Chenwei-1999/AutoMark) project. Each robot episode is segmented
+into atomic primitive-skill intervals (e.g. `pick`, `place`, `pour`) with second-aligned timestamps
+and `verb(object)`-style call targets, over the 15-label RoboInter primitive-skill taxonomy.
+
+> ⚠️ **This dataset contains annotations only — NO raw videos.** The labels are *derived from*
+> [`InternRobotics/RoboInter-Data`](https://huggingface.co/datasets/InternRobotics/RoboInter-Data),
+> which is **access-gated** (you must accept its Community License + Privacy Policy) and licensed
+> **CC BY-NC-SA 4.0**. To obtain the actual `.mp4` videos referenced here, request access to
+> RoboInter-Data directly and rebuild with the AutoMark export scripts. The `file_name` /
+> `video_path` fields are RoboInter video identifiers, not redistributed media.
+
+## Scale
+
+| | |
+|---|---|
+| Episodes (primary/exterior camera) | **235,880** |
+| Atomic-skill segment annotations | **758,397** |
+| Skill taxonomy | 15 labels (RoboInter primitive skills) |
+| Source FPS | 10.0 (dataset); timestamps in seconds |
+
+**Skill taxonomy:** `transfer, pick, place, press, push, pull, twist, pour, fold, slide, insert,
+shake, strike, throw, manipulate`
+
+## Files
+
+- **`annotation.json`** — the full folder-dataset annotation. Top-level metadata
+  (`skill_taxonomy`, `dataset_fps`, counts) plus `videos[]`; each video has `file_name`, `fps`,
+  `source` (`droid`/`rh20t`), `source_member_path` (path *within* the RoboInter release), and an
+  `annotations[]` list of segments: `{start, end, frame_start, frame_end, skill, call, text}`.
+  `call` is a `verb(args)`-style function string (args may be empty when the rule-based parser
+  could not bind an object).
+- **`qwen/text.jsonl`** — 758,397 text-only evaluation rows for skill/call prediction (one segment
+  per row): `text` (segment hint), `gt_skill`, `target_call`, `allowed_skills`, and a ready `prompt`.
+- **`qwen/visual_smoke_1024.jsonl`** — a 1,024-row visual smoke subset; same schema plus a relative
+  `video_path` (`video/<video_id>.mp4`) for grounding against the (separately obtained) videos.
+- **`qwen/report.json`** — build report (row counts, taxonomy).
+
+Filesystem paths have been relativized; no absolute paths are included.
+
+## Provenance & licensing
+
+- Curated by **AutoMark** (online atomic-skill induction): <https://github.com/Chenwei-1999/AutoMark>
+- Source: **RoboInter-Data** (`InternRobotics/RoboInter-Data`), itself built on
+  [DROID](https://droid-dataset.github.io/) and [RH20T](https://rh20t.github.io/) — see each for
+  their original licenses.
+- **License: CC BY-NC-SA 4.0** (inherited from RoboInter). Non-commercial use only; derivatives
+  must carry the same license; attribute RoboInter, DROID, and RH20T.
+
+If you use these annotations, please cite RoboInter-Data and the upstream DROID / RH20T datasets.

annotation.json

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+oid sha256:8a50d800631fe5be6ca6687bb88bcec69c2b1538fd5b124d1ef7f3926e1e3124
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qwen/report.json

@@ -0,0 +1,27 @@
+{
+  "allowed_skills": [
+    "transfer",
+    "pick",
+    "place",
+    "press",
+    "push",
+    "pull",
+    "twist",
+    "pour",
+    "fold",
+    "slide",
+    "insert",
+    "shake",
+    "strike",
+    "throw",
+    "manipulate"
+  ],
+  "input": "annotation.json",
+  "missing_video_rows": 0,
+  "text_output": "qwen/text.jsonl",
+  "text_rows": 758397,
+  "truncated_visual_rows": 757373,
+  "video_root": "video",
+  "visual_output": "qwen/visual_smoke_1024.jsonl",
+  "visual_rows": 1024
+}

qwen/text.jsonl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d5558bc49df3d7b7b19d410e5f4f8c7900292a32f119bb3c899f605837d6622f
+size 738736197