Update README & zip

README.md

@@ -32,10 +32,14 @@ size_categories:
 
 # Gametime — Basic (Parquet)
 
+The **Basic** split of Gametime is a lightweight, streaming-friendly dataset for quick TTS/ASR prototyping.  
+Audio is stored directly as raw bytes in Parquet (no `Audio` feature), so you can stream and decode without extra dependencies.
+
 ---
 
-## TL;DR — Stream and decode
+## 📦 Download Options
 
+### 1️⃣ Recommended — Stream from Hugging Face
 ```python
 from datasets import load_dataset
 import io, soundfile as sf
@@ -43,36 +47,65 @@ import io, soundfile as sf
 ds = load_dataset("gametime-benchmark/gametime", "basic", split="train", streaming=True)
 
 ex = next(iter(ds))
-buf = io.BytesIO(ex["audio_bytes"])          # raw bytes from Parquet
-wav, sr = sf.read(buf, dtype="float32")      # decodes in-memory
+buf = io.BytesIO(ex["audio_bytes"])
+wav, sr = sf.read(buf, dtype="float32")
 print(ex["id"], sr, len(wav), ex["text"])
 ````
 
-* Works with **streaming=True** (no full download).
-* No `torchcodec` required. You only need `soundfile` (libsndfile).
+* Works with **`streaming=True`** — no full download needed
+* Requires only `soundfile` (libsndfile)
+
+---
+
+### 2️⃣ Optional — Full ZIP Download
+
+If you prefer the original folder layout:
+
+```
+gametime/basic/
+├── 1-a-Sequence-Number-dataset.json
+├── ...*-dataset.json
+├── audios/
+│   ├── 1-a-Sequence-Number/
+│   │   ├── train/*.wav
+│   │   ├── test/*.wav
+...
+```
+
+You can download and unzip:
+
+```bash
+wget https://huggingface.co/datasets/gametime-benchmark/gametime/resolve/main/gametime/download/gametime_basic_v1.zip
+unzip gametime_basic_v1.zip
+```
+
+This preserves the `gametime/basic` directory tree exactly as in source.
 
 ---
 
-## Schema
+## 📑 Schema
 
-Columns in each Parquet row:
+Each Parquet row has:
 
-* `id`: unique identifier (e.g., `1-a-Sequence-Number/train/1-a-Sequence-Number-01-01.wav`)
-* `category`: `"basic"`
-* `dataset`: group name (e.g., `1-a-Sequence-Number`)
-* `split`: `train` or `test`
-* `template_idx`, `item_idx`: indices if applicable (empty string otherwise)
-* `text`: reference text to speak/recognize
-* `audio_bytes`: raw WAV bytes
-* `audio_format`: `"wav"`
-* `sampling_rate`: e.g., `16000`
+| Column          | Type  | Description                                                    |
+| --------------- | ----- | -------------------------------------------------------------- |
+| `id`            | str   | e.g. `1-a-Sequence-Number/train/1-a-Sequence-Number-01-01.wav` |
+| `category`      | str   | `"basic"`                                                      |
+| `dataset`       | str   | group name (e.g. `1-a-Sequence-Number`)                        |
+| `split`         | str   | `train` or `test`                                              |
+| `template_idx`  | str   | template index if available                                    |
+| `item_idx`      | str   | item index if available                                        |
+| `text`          | str   | reference transcription / prompt                               |
+| `audio_bytes`   | bytes | raw WAV file bytes                                             |
+| `audio_format`  | str   | `"wav"`                                                        |
+| `sampling_rate` | int   | e.g., `16000`                                                  |
 
 ---
 
-## Example: quick ASR sanity check (Whisper)
+## 🔍 Example — Whisper ASR Sanity Check
 
 ```python
-# pip install transformers datasets soundfile evaluate
+# pip install transformers datasets soundfile evaluate jiwer torchaudio
 import io
 import soundfile as sf
 import evaluate
@@ -89,6 +122,7 @@ for i, ex in enumerate(ds):
     wav, sr = sf.read(io.BytesIO(ex["audio_bytes"]), dtype="float32")
     hyp = asr({"array": wav, "sampling_rate": sr})["text"]
     refs.append(ex["text"]); hyps.append(hyp)
+    print(f"Sample {i+1}: {ex['text']} -> {hyp}")
     if i >= 199:  # quick 200-sample check
         break
 
@@ -97,14 +131,15 @@ print("WER:", wer.compute(references=refs, predictions=hyps))
 
 ---
 
-## Notes
+## 📝 Notes
 
-* **Advanced** category (with `<sil="Xms"/>` timing tokens) is planned separately.
+* **Advanced** split (with `<sil="Xms"/>` timing tokens) is planned separately.
 * License: **CC BY 4.0** for text, metadata, and audio.
+* ZIP download is optional; Parquet streaming is the default recommended method.
 
 ---
 
-## Citation
+## 📚 Citation
 
 ```
 @dataset{gametime_basic_2025,

download/gametime_basic_v1.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3055163b7522459e6da2010f46257ab80346709365f3a0a8c7800ccac9d52c3c
+size 705988219

download/gametime_basic_v1.zip.sha256

@@ -0,0 +1 @@
+3055163b7522459e6da2010f46257ab80346709365f3a0a8c7800ccac9d52c3c  gametime_basic_v1.zip