Datasets:

Peanuttoad
/

gaze_dataset_full

Tasks:

Question Answering

Video-Text-to-Text

Languages:

English

License:

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xet

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The JWT signature verification failed. Check the signing key and the algorithm.

Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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gaze_dataset_full — StreamGaze_v2 + EgoGazeVQA + HD-EPIC

A single repository containing three complementary benchmarks for evaluating multimodal LLMs on gaze-grounded egocentric video question answering:

Subfolder	Source	Held-out (val/test)	Questions
`StreamGaze_v2/`	egoexolearn, holoassist, egtea	`egtea`	8 MCQ tasks (4-opt) — gaze-conditioned past/present/future
`EgoGazeVQA/`	ego4d, egoexo, egtea	`egtea`	causal / spatial / temporal (5-opt)
`HD-EPIC/`	P01–P09	`P09` (participant)	30 vqa-benchmark tasks (5-opt)

CombinedMergeDataset in the TrajGazeMerge pipeline takes the union of all three sources, training on the non-held-out items and evaluating on the held-out ones.

Repository layout

gaze_dataset_full/
├── README.md
├── restore.sh                        unified restore — extracts all 3 sources
├── StreamGaze_v2/                    (~575 GB packed forms)
│   ├── frames_shards/                tar shards of per-clip frames
│   ├── videos_tars/                  pre-packed video tars
│   ├── gaze/, hand/, interaction/    per-frame gaze/hand and interaction npz
│   ├── adapted/, qa/, metadata/      QA and per-task metadata
│   └── README.md
├── EgoGazeVQA/                       (~225 GB packed forms)
│   ├── metadata.csv                  1750 MCQ items
│   ├── ego4d_gaze.tar, ego4d_no_gaze.tar, ego4d_gaze_mapping.tar
│   ├── egoexo_gaze_part1/2.tar, egoexo_no_gaze_part1/2.tar, egoexo_gaze_mapping.tar
│   ├── egtea_gaze.tar, egtea_no_gaze.tar, egtea_gaze_mapping.tar
│   ├── ego4d_jsons/, egoexo_jsons/, egtea_jsons/
│   ├── {ego4d,egoexo,egtea}/hand_locations/
│   └── interaction/
└── HD-EPIC/                          (~9.7 GB packed forms)
    ├── frames_extracted_tars/        9 tars — frames_extracted_P0X.tar (224×224, 10 fps)
    ├── hand_locations.tar            per-clip hand JSON (StreamGaze schema)
    ├── interaction/                  per-clip interaction.npz
    └── vqa-benchmark/                30 task JSON files

The HD-EPIC subset includes only the files actually consumed by the training/eval pipeline (HDEpicDataset in TrajGazeMerge/data/): frames_extracted/, hand_locations/, interaction/, and the VQA task JSONs. Raw video/, Audio-HDF5/, SLAM-and-Gaze/, and Hands-Masks/ are not included — recover them from the upstream HD-EPIC release if needed.

The original HDEpicDataset expects the VQA JSON at /workspace/hd-epic-annotations/vqa-benchmark/; this release relocates that folder under HD-EPIC/vqa-benchmark/ to keep one root per source. Adjust VQA_BASE accordingly or ln -s HD-EPIC/vqa-benchmark /workspace/hd-epic-annotations/vqa-benchmark.

Quick start

huggingface-cli download Peanuttoad/gaze_dataset_full --repo-type dataset \
    --local-dir ./gaze_dataset_full
cd gaze_dataset_full && bash restore.sh

restore.sh handles all three sources in one pass. Pass --keep-shards to keep the packed tar files after extraction.

Provenance

StreamGaze_v2/ — also published standalone at Peanuttoad/StreamGaze_v2.
EgoGazeVQA/ — also published standalone at Peanuttoad/gaze_dataset (no interaction/; that subdir is only present in the combined releases).
2-source combined release (sg + eg, no HD-EPIC): Peanuttoad/StreamGaze_EgoGazeVQA.
HD-EPIC source: HD-EPIC official site.

License: CC-BY-4.0 for the combined release. Underlying source data (Ego4D, EgoExo, EGTEA, EgoExoLearn, HoloAssist, HD-EPIC) retains its own licenses.

Downloads last month: 27

Total file size:

638 GB