Publish WGO-Bench dataset

.gitattributes

@@ -0,0 +1,60 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.avro filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp 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

README.md

@@ -0,0 +1,37 @@
+---
+pretty_name: WGO-Bench
+task_categories:
+- robotics
+- video-classification
+language:
+- en
+tags:
+- temporal-segmentation
+- subtask-annotation
+- robotics
+- robot-learning
+- benchmark
+license: cc-by-nc-sa-4.0
+---
+
+# WGO-Bench
+
+[MacroData's WGO-Bench](https://huggingface.co/datasets/macrodata/WGO-Bench) is a benchmark for evaluating timestamped subtask annotations from robot and egocentric manipulation videos. MacroData describes the benchmark and its annotation approach in [Segmenting Robot Video into Actionable Subtasks](https://macrodata.co/blog/annotating-robot-video-subtasks).
+
+The upstream repository's [`summary.json`](https://huggingface.co/datasets/macrodata/WGO-Bench/blob/9cfb7bb98d60a58319f4b3d7b41374eedfb7980c/summary.json) states that its timeline reannotations were applied only to the 25 `homer_*` episodes, while the DROID and Galaxea rows were left unchanged. During our review of all 100 episodes, we found additional annotation issues. We discuss those issues and our reannotation process in the [VideoDB WGO-Bench reannotation report](https://videodb.io/blog/TODO-wgo-bench-reannotation).
+
+This dataset retains the original videos and perception data and replaces the task and timestamped subtask annotations with our reviewed annotations.
+
+## Dataset
+
+- Episodes: 100
+- Corrected subtask segments: 534
+- Families: 50 DROID, 25 Galaxea, and 25 HOMER
+- Format: Parquet
+- Videos: MP4 bytes embedded in each row
+
+Each row contains the episode ID, video, high-level instruction, timestamped subtask segments, metadata, and available perception state.
+
+## License
+
+The source dataset is licensed [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/). This dataset uses the same license.

data/annotations.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b731ff4b5dec273a61b7f5ef2c4f9645cb3dd2835dfa070d90103c739b661114
+size 1401274958

manifest.json

@@ -0,0 +1,43 @@
+{
+  "schema_version": 1,
+  "dataset": "VideoDB/WGO-Bench",
+  "upstream": {
+    "dataset": "macrodata/WGO-Bench",
+    "revision": "9cfb7bb98d60a58319f4b3d7b41374eedfb7980c",
+    "source_parquet_sha256": "24c6c23447753385b9cea0d17f17d7a8aa74131d800d9bc9ab74d7669d7404ab"
+  },
+  "annotation_exports": [
+    {
+      "source": "review_export_001",
+      "sha256": "c570ba4745ef48d48e5f228c49129ddc84df5a523da903083ee3e095038d87c3",
+      "clips": 39
+    },
+    {
+      "source": "review_export_002",
+      "sha256": "98231ed11f091a7f89267aa60993496c9d5448ea928ba8c49ad6df37ee1b0493",
+      "clips": 61
+    }
+  ],
+  "rows": 100,
+  "segments": 534,
+  "families": {
+    "droid": 50,
+    "galaxea": 25,
+    "homer": 25
+  },
+  "privacy": {
+    "review_status_included": false,
+    "reviewer_metadata_included": false,
+    "internal_video_ids_included": false
+  },
+  "files": {
+    "data/annotations.parquet": {
+      "bytes": 1401274958,
+      "sha256": "b731ff4b5dec273a61b7f5ef2c4f9645cb3dd2835dfa070d90103c739b661114"
+    },
+    "data/corrected-annotations.json": {
+      "bytes": 115058,
+      "sha256": "abd00cb339c5e0603314331da1dfeee30c3203174077d9905549a5b369796e0e"
+    }
+  }
+}