Update full dataset

README.md

@@ -44,34 +44,7 @@ For full details, please refer to the paper:
 
 ## 📦 Download Options
 
-### 1️⃣ Recommended — Stream from Hugging Face
-
-```python
-from datasets import load_dataset
-import io
-import soundfile as sf
-
-# Load Basic train split
-ds_basic = load_dataset("gametime-benchmark/gametime", "basic", split="test", streaming=True)
-ex = next(iter(ds_basic))
-buf = io.BytesIO(ex["audio_bytes"])
-wav, sr = sf.read(buf, dtype="float32")
-print(ex["id"], sr, len(wav), ex["text"])
-
-# Load Advanced test split
-ds_adv = load_dataset("gametime-benchmark/gametime", "advanced", split="test", streaming=True)
-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)
-
----
-
-### 2️⃣ Optional — Full ZIP Download
+### 1️⃣ Recommended — Full ZIP Download
 
 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:
 
@@ -135,6 +108,33 @@ unzip gametime/download/basic_instructions.zip
 
 ---
 
+### 2️⃣ Optional — Stream from Hugging Face
+
+```python
+from datasets import load_dataset
+import io
+import soundfile as sf
+
+# Load Basic train split
+ds_basic = load_dataset("gametime-benchmark/gametime", "basic", split="test", streaming=True)
+ex = next(iter(ds_basic))
+buf = io.BytesIO(ex["audio_bytes"])
+wav, sr = sf.read(buf, dtype="float32")
+print(ex["id"], sr, len(wav), ex["text"])
+
+# Load Advanced test split
+ds_adv = load_dataset("gametime-benchmark/gametime", "advanced", split="test", streaming=True)
+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)
+
+---
+
 ## 📑 Schema
 
 Each Parquet row has:
@@ -155,45 +155,6 @@ Each Parquet row has:
 
 ---
 
-## 🔍 Example — Whisper ASR Sanity Check
-
-```python
-# pip install transformers datasets soundfile evaluate jiwer torchaudio
-import io
-import soundfile as sf
-import evaluate
-from datasets import load_dataset
-from transformers import pipeline
-
-asr = pipeline("automatic-speech-recognition", model="openai/whisper-small")
-wer = evaluate.load("wer")
-
-# Evaluate Advanced split (test only)
-ds = load_dataset("gametime-benchmark/gametime", "advanced", split="test", streaming=True)
-
-refs, hyps = [], []
-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:
-        break
-
-print("WER:", wer.compute(references=refs, predictions=hyps))
-```
-
----
-
-## 📝 Notes
-
-* **Basic**: clean split with plain text transcripts.
-* **Advanced**: adds inline timing tokens such as `<sil="Xms"/>`, enabling alignment-aware training and evaluation.
-* License: **CC BY 4.0** for text, metadata, and audio.
-* ZIP download is optional; Parquet streaming is the default recommended method.
-
----
-
 ## 📚 Citation
 
 If you use this dataset, please cite:

advanced/test.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:742c699167d2d09cd0fc16db8bcb33fd72d60c61ee532e570e654ca6a46714fd
-size 415451088
+oid sha256:ccb84b812deb9d932e1a05174479ef7733ad3c89990735dd9ca489d274966088
+size 403895540

basic/test.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c70c81a8ae248031c4bcada7cddf4902e95d94802e75ecc07565835b714fe644
-size 240127946
+oid sha256:c7a7536f0c874cb8fa802a9fdd591efef76a9188e17f594c403d33e4077aeb6c
+size 240127771

download/advanced_instructions.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6c2ca51fe3c3719ebf4f7769ef5aae8f5d556bc262cfd4e50d044b8a789efe94
-size 399034802
+oid sha256:30b50bbcbf0fb66fb284cb347555d8937ab6516d666ae6060588d8d55b5dbbe9
+size 399012962

download/basic_instructions.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:80b48c500e4f9581ca38352adf52deafea735021e46b8f2c522d9320ec273915
+oid sha256:478fbeff3f0ecfd927f6f228fc65132f652879005932e6f677aac93dc661adeb
 size 238704865