Datasets:

itspublu
/

EgoSieve-Eval

+---
+license: cdla-permissive-2.0
+task_categories:
+  - video-classification
+tags:
+  - egocentric-video
+  - robotics
+  - video-quality
+  - temporal-segmentation
+  - metadata-only
+pretty_name: EgoSieve-Eval
+size_categories:
+  - 1K<n<10K
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data/train.jsonl
+      - split: validation
+        path: data/validation.jsonl
+      - split: test
+        path: data/test.jsonl
+---
+# EgoSieve-Eval
+EgoSieve-Eval is the metadata-only, source-grouped evidence index used for
+EgoSieve-S v0.1. It contains 1407 labeled window rows across
+992 train, 219 validation, and
+196 test examples. Source and generated videos are deliberately
+not redistributed.
+## What the labels mean
+Readiness and boundary targets are derived from HoloAssist v1_1 fine-action
+intervals using a published fixed-grid occupancy rule. The test set contains
+0 direct-human and 142 human-derived
+readiness rows. Human-derived rows are not independent judgments under the
+EgoSieve rubric; the recorded review count applies to HoloAssist source
+interval review.
+`low_hand_activity` is an occupancy proxy. `acting_hand_not_visible` follows
+HoloAssist's acting-hand visibility modifier; it does not assert that every
+hand is absent from a frame. Blur, exposure, camera instability, duplicate
+frames, and scene-cut labels are paired controlled corruptions versus
+unmodified references. Their metrics measure that discrimination setting, not
+human-audited natural prevalence.
+Held-out issue rows by provenance: 0 human,
+109 human-derived, and
+36 controlled-corruption.
+Unknown task targets remain null and masked.
+## Splits and leakage
+Splits are assigned by original HoloAssist source video, so a source window,
+its unmodified reference, and every generated variant stay in one split. The
+exact membership is in `evidence/splits.json`; raw held-out predictions and
+recomputed metrics are included alongside it.
+## Media, license, and privacy
+This repository contains labels, source identifiers, timestamps, and model
+outputs only. Obtain source media from the
+[HoloAssist project](https://holoassist.github.io/#download) under its terms.
+HoloAssist declares CDLA-Permissive-2.0. First-person video can contain faces,
+screens, homes, and bystanders; the absence of media here is intentional and
+does not replace the source dataset's consent and privacy documentation.
+The transport mirror used for the local build was pinned for byte stability
+but did not declare its own license or establish publisher byte equivalence;
+it is not presented here as the rights source.
+## Reproducibility and limitations
+The build recipe is in
+[`scripts/build_v01_corpus.py`](https://github.com/publu/egosieve/blob/c7f8431a89108ac9cf805cb674ed3d5691d370cf/scripts/build_v01_corpus.py).
+Every label row carries task-level validity and provenance. These weak-label
+metrics should not be read as performance on a direct, independently annotated
+in-the-wild benchmark, and the model must not be used for robot control.
+## Citation
+```bibtex
+@inproceedings{wang2023holoassist,
+  title={HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World},
+  author={Wang, et al.},
+  booktitle={ICCV},
+  year={2023}
+}
+```

data/test.jsonl ADDED Viewed