Update README.md

README.md

@@ -15,11 +15,17 @@ tags:
 - audio-comprehension
 - benchmark
 - audio-question-answering
+
 ---
 
 # AudioSpan: Spanning the Duration and Depth of Audio Comprehension
 
-[📖 Paper]() | [🧩 AudioSpan Benchmark]()
+<p align="center">
+  <a href="https://arxiv.org/abs/ARXIV_ID"><img src="https://img.shields.io/badge/Paper-arXiv-b31b1b?style=flat-square&logo=arxiv&logoColor=white" alt="arXiv"></a>
+  <a href="https://huggingface.co/datasets/holvan/AudioSpan"><img src="https://img.shields.io/badge/Dataset-AudioSpan-ffd21e?style=flat-square&logo=huggingface&logoColor=000" alt="Hugging Face Dataset"></a>
+  <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/"><img src="https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-3da639?style=flat-square" alt="License: CC BY-NC-SA 4.0"></a>
+</p>
+
 
 ## Introduction
 
@@ -30,6 +36,7 @@ diverse durations and cognitive depths.
   <img src="figs/audio_span.png" alt="AudioSpan overview" width="100%">
 </p>
 
+
 Questions come from two complementary paths:
 
 - **Native QA**: questions drawn from the audio's natural content.
@@ -47,12 +54,21 @@ Each path is scored in its own mode:
 
 ## Quick Start
 
+Download the release (~18 GB) and work from its root:
+
+```bash
+pip install -U huggingface_hub
+hf download holvan/AudioSpan --repo-type dataset --local-dir AudioSpan
+cd AudioSpan
+```
+
 ### 1. Prepare Audio Data
 
 Native recordings and sound events ship as tar archives
-(`audio/audio_native.tar`, `audio/audio_events.tar`). From the release root
-(the directory with `prepare/` and `audio/`), verify them against
-`audio/CHECKSUMS.sha256` and unpack into `audio/`:
+(`audio/audio_native.part*.tar`, `audio/audio_events.tar`; the native parts
+are concatenated automatically). From the release root (the directory with
+`prepare/` and `audio/`), verify them against `audio/CHECKSUMS.sha256` and
+unpack into `audio/`:
 
 ```bash
 # accuracy / rubric: native recordings only
@@ -125,10 +141,10 @@ agreement not to redistribute the audio or use it in commercial products.
 If you find AudioSpan useful for your research, please consider citing:
 
 ```bibtex
-@inproceedings{audiospan,
-  title     = {AudioSpan: ...},
-  author    = {...},
-  booktitle = {...},
-  year      = {2026}
+@article{huang2026audiospan,
+  title   = {AudioSpan: Spanning the Duration and Depth of Audio Comprehension},
+  author  = {Huang, Wen and Chu, Yunfei and Gao, Meng and He, Haolin and Xu, Jin},
+  journal = {arXiv preprint arXiv:ARXIV_ID},
+  year    = {2026}
 }
-```
+```