Update dataset card metadata and add license

LICENSE

@@ -0,0 +1,55 @@
+PerceptionComp Research License
+
+Copyright (c) 2026 PerceptionComp authors
+
+1. Scope
+
+This repository contains benchmark annotations, metadata, documentation, and may contain
+or reference benchmark video files. The annotation data and repository materials created
+by the PerceptionComp authors are made available under this license. Video files and
+other third-party materials may remain subject to the terms of their respective original
+sources.
+
+2. Permitted Use
+
+You may use, reproduce, and share the PerceptionComp benchmark materials for
+non-commercial research, evaluation, benchmarking, and academic publication, provided
+that you:
+
+- preserve this license notice
+- provide appropriate attribution to PerceptionComp
+- comply with any applicable terms governing the underlying video sources
+
+3. Restrictions
+
+You may not:
+
+- use the benchmark materials for unlawful purposes
+- use the benchmark materials for surveillance, identity recognition, or sensitive
+  attribute inference
+- represent modified evaluation protocols or altered benchmark settings as official
+  PerceptionComp results
+- redistribute any third-party video content except as permitted by the corresponding
+  source terms and applicable law
+- use the benchmark materials for commercial purposes without prior written permission
+  from the rights holders
+
+4. Third-Party Content
+
+To the extent this repository includes or references videos or other materials obtained
+from third-party sources, those materials are provided only for research and evaluation
+use as allowed by the original source terms. You are responsible for verifying that your
+use complies with those terms and with applicable law.
+
+5. No Warranty
+
+THE BENCHMARK MATERIALS ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
+PARTICULAR PURPOSE, TITLE, AND NON-INFRINGEMENT.
+
+6. Limitation of Liability
+
+IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES, OR
+OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT, OR OTHERWISE, ARISING FROM, OUT
+OF, OR IN CONNECTION WITH THE BENCHMARK MATERIALS OR THE USE OR OTHER DEALINGS IN THE
+BENCHMARK MATERIALS.

README.md

@@ -1,9 +1,10 @@
 ---
 pretty_name: PerceptionComp
 license: other
+license_name: PerceptionComp Research License
+license_link: LICENSE
 task_categories:
   - video-question-answering
-  - multiple-choice
 language:
   - en
 tags:
@@ -13,12 +14,13 @@ tags:
   - reasoning
   - video-understanding
   - evaluation
+  - multiple-choice
 size_categories:
   - 1K<n<10K
 configs:
   - config_name: default
     data_files:
-      - split: train
+      - split: test
         path: questions.json
 ---
 
@@ -32,18 +34,18 @@ PerceptionComp is a benchmark for complex perception-centric video reasoning. It
 
 PerceptionComp contains 1,114 manually annotated five-choice questions associated with 273 videos. The benchmark covers seven categories: outdoor tour, shopping, sport, variety show, home tour, game, and movie.
 
-This Hugging Face dataset repository hosts the benchmark videos. The official annotation file, evaluation code, and model integration examples are maintained in the GitHub repository:
+This Hugging Face dataset repository is intended to host the benchmark videos together with a viewer-friendly annotation file, `questions.json`, for Dataset Preview and Data Studio. The canonical annotation source, evaluation code, and model integration examples are maintained in the official GitHub repository:
 
 - GitHub repository: https://github.com/hrinnnn/PerceptionComp
 
-- **Curated by:** PerceptionComp authors
-- **Language(s) (NLP):** English
-- **License:** Please replace `other` in the metadata above with the final data license before public release if a more specific license applies.
+- Curated by: PerceptionComp authors
+- Language(s): English
+- License: PerceptionComp Research License
 
 ### Dataset Sources
 
-- **Repository:** https://github.com/hrinnnn/PerceptionComp
-<!-- - **Paper:** Add the public paper link here when available. -->
+- Repository: https://github.com/hrinnnn/PerceptionComp
+- Paper: https://arxiv.org/abs/2603.26653
 
 ## Uses
 
@@ -78,10 +80,6 @@ Each benchmark question is associated with:
 - one semantic category
 - one difficulty label
 
-The official annotation file is maintained in the GitHub repository:
-
-- `benchmark/annotations/1-1114.json`
-
 Core fields in each annotation item:
 
 - `key`: question identifier
@@ -95,7 +93,13 @@ Core fields in each annotation item:
 
 ### Data Files
 
-The Hugging Face dataset stores the benchmark videos. The official evaluation code prepares them into the following local layout:
+This upload bundle contains:
+
+- `questions.json`: root-level annotation file used by Hugging Face Dataset Preview and Data Studio
+- `README.md`: Hugging Face dataset card
+- `LICENSE`: custom research-use terms for the benchmark materials
+
+The official evaluation code prepares videos into the following local layout:
 
 ```text
 benchmark/videos/<video_id>.mp4
@@ -112,9 +116,9 @@ python scripts/download_data.py --repo-id hrinnnn/PerceptionComp
 
 ### Data Splits
 
-The current public release uses one official evaluation set:
+The current public release uses one official evaluation split:
 
-- `1-1114.json`: 1,114 multiple-choice questions over 273 videos
+- `test`: 1,114 multiple-choice questions over 273 videos, exposed through `questions.json`
 
 ## Dataset Creation
 
@@ -156,7 +160,7 @@ The annotations were created by the PerceptionComp project team.
 
 The videos may contain people, faces, voices, public scenes, or other naturally occurring visual content. The dataset is intended for research evaluation, not for identity inference or sensitive attribute prediction.
 
-### Recommendations
+## Recommendations
 
 Users should:
 
@@ -167,13 +171,16 @@ Users should:
 
 ## Citation
 
-If you use PerceptionComp, please cite the project paper when it is publicly available.
+If you use PerceptionComp, please cite the project paper:
 
 ```bibtex
 @misc{perceptioncomp2026,
   title={PerceptionComp},
   author={PerceptionComp Authors},
   year={2026},
+  eprint={2603.26653},
+  archivePrefix={arXiv},
+  primaryClass={cs.CV},
   howpublished={Hugging Face dataset and GitHub repository}
 }
 ```
@@ -201,4 +208,4 @@ python evaluate/evaluate.py \
 
 ## Dataset Card Authors
 
-PerceptionComp authors
+PerceptionComp authors