Update README.md

README.md

@@ -36,7 +36,9 @@ size_categories:
 
 # Gametime Benchmark
 
-The **Gametime** dataset provides lightweight, streaming-friendly splits for TTS/ASR/SpokenLM prototyping.
+The **Gametime** dataset provides lightweight, streaming-friendly splits for TTS/ASR/SpokenLM prototyping.  
+For full details, please refer to the paper:  
+👉 [**Game-Time: Evaluating Temporal Dynamics in Spoken Language Models**](https://arxiv.org/abs/2509.26388)
 
 ---
 
@@ -62,7 +64,7 @@ ex_adv = next(iter(ds_adv))
 buf_adv = io.BytesIO(ex_adv["audio_bytes"])
 wav_adv, sr_adv = sf.read(buf_adv, dtype="float32")
 print(ex_adv["id"], sr_adv, len(wav_adv), ex_adv["text"])
-```
+````
 
 * Works with **`streaming=True`** — no full download needed
 * Requires only `soundfile` (libsndfile)
@@ -73,7 +75,7 @@ print(ex_adv["id"], sr_adv, len(wav_adv), ex_adv["text"])
 
 If you prefer the original folder layout you can download one of the ZIPs packaged in `gametime/download/`. There are two kinds available in this repository:
 
-- `gametime/download/basic_instructions.zip` — unpacks to:
+* `gametime/download/basic_instructions.zip` — unpacks to:
 
 ```
 basic_instructions/
@@ -88,7 +90,7 @@ basic_instructions/
 │   │   ├── <stem>.jsonl
 ```
 
-- `gametime/download/advanced_instructions.zip` — unpacks to:
+* `gametime/download/advanced_instructions.zip` — unpacks to:
 
 ```
 advanced_instructions/
@@ -105,7 +107,7 @@ advanced_instructions/
 
 Notes:
 
-- Each ZIP in `gametime/download/` preserves the original source tree names (`basic_instructions/` or `advanced_instructions/`).
+* Each ZIP in `gametime/download/` preserves the original source tree names (`basic_instructions/` or `advanced_instructions/`).
 
 Download example (Hugging Face):
 
@@ -146,7 +148,7 @@ Each Parquet row has:
 | `template_idx`  | str   | template index if available                                    |
 | `item_idx`      | str   | item index if available                                        |
 | `text`          | str   | reference transcription / prompt                               |
-| `alignment`     | str   | alignment metadata |
+| `alignment`     | str   | alignment metadata                                             |
 | `audio_bytes`   | bytes | raw WAV file bytes                                             |
 | `audio_format`  | str   | `"wav"`                                                        |
 | `sampling_rate` | int   | e.g., `16000`                                                  |
@@ -194,12 +196,15 @@ print("WER:", wer.compute(references=refs, predictions=hyps))
 
 ## 📚 Citation
 
+If you use this dataset, please cite:
+
 ```
 @article{chang2025gametime,
   title   = {Game-Time: Evaluating Temporal Dynamics in Spoken Language Models},
   author  = {Kai-Wei Chang and En-Pei Hu and Chun-Yi Kuan and Wenze Ren and Wei-Chih Chen and Guan-Ting Lin and Yu Tsao and Shao-Hua Sun and Hung-yi Lee and James Glass},
   year    = {2025},
-  note    = {Manuscript under preparation}
+  journal = {arXiv preprint arXiv:2509.26388},
+  url     = {https://arxiv.org/abs/2509.26388}
 }
 ```