Document completed WebDataset migration

README.md

@@ -52,7 +52,6 @@ configs:
 GigaSpeech 3 is a large-scale Arabic speech recognition corpus containing approximately **10 million weakly transcribed speech segments** and **39,000 hours** of audio across five dialects: Algerian, Egyptian, Iraqi, Saudi, and Syrian Arabic. It supports research on dialect-specific and multi-dialect ASR, weak supervision, and low-resource speech recognition.
 
 - **Dataset:** [GigaSpeech 3](https://huggingface.co/datasets/speechcolab/gigaspeech3)
-- **WebDataset version:** [Antares97/giga3](https://huggingface.co/datasets/Antares97/giga3) — complete WebDataset release for all five dialects
 - **Paper:** [arXiv:2611.02476](https://arxiv.org/abs/2611.02476)
 - **Evaluation benchmark:** [GigaSpeechBench](https://huggingface.co/datasets/speechcolab/GigaSpeechBench)
 - **Proofreading portal:** [VoxLabel](https://open-ai-eval.com)
@@ -61,9 +60,7 @@ GigaSpeech 3 is a large-scale Arabic speech recognition corpus containing approx
 
 ## Release version
 
-The complete release is available as self-contained WebDataset shards at [Antares97/giga3](https://huggingface.co/datasets/Antares97/giga3): `<DIALECT>/train/NNN.tar`, with one WAV and one JSON per sample, covering all five dialects in 886 shards.
-
-The original v1 WAV-only tag has been retired to free storage. Use the WebDataset release above. This repository's `main` branch is still being migrated and should not be used as a complete WebDataset source until the migration finishes.
+This repository contains the complete WebDataset release: `<DIALECT>/train/NNN.tar`, with one WAV and one JSON per sample, covering all five dialects in 886 shards. The migration from the legacy WAV-only layout is complete. The original v1 WAV-only tag has been retired.
 
 ## Dataset Description
 
@@ -98,9 +95,9 @@ The WebDataset EGY subset contains the expanded release inventory: **1,912,374 s
 
 ## Dataset Structure
 
-### WebDataset version (recommended)
+### WebDataset layout
 
-The complete WebDataset release is at [Antares97/giga3](https://huggingface.co/datasets/Antares97/giga3). Audio and metadata are packaged together in self-contained shards:
+This repository serves self-contained WebDataset shards. Audio and metadata are packaged together:
 
 ```text
 giga3/
@@ -156,10 +153,10 @@ pip install -U datasets huggingface_hub
 ```python
 from datasets import Audio, load_dataset
 
-REPO_ID = "Antares97/giga3"
+REPO_ID = "speechcolab/gigaspeech3"
 ds = load_dataset(
-    "webdataset",
-    data_files={"train": f"hf://datasets/{REPO_ID}/SAU/train/*.tar"},
+    REPO_ID,
+    "SAU",
     split="train",
     streaming=True,
 ).cast_column("wav", Audio(decode=False))
@@ -175,7 +172,7 @@ You can also download one shard and pass its local path to `load_dataset`:
 from huggingface_hub import hf_hub_download
 
 archive_path = hf_hub_download(
-    repo_id="Antares97/giga3",
+    repo_id="speechcolab/gigaspeech3",
     repo_type="dataset",
     filename="EGY/train/001.tar",
 )
@@ -183,7 +180,7 @@ archive_path = hf_hub_download(
 
 Individual shards can be several gigabytes. All WebDataset shards for a dialect are matched by `<DIALECT>/train/*.tar`.
 
-The original v1 tag has been retired and is no longer available for download. Use the WebDataset release above.
+The original WAV-only tag has been retired; this repository is now fully WebDataset.
 
 ## Proofreading