Update README.md

README.md

@@ -766,11 +766,7 @@ configs:
 
 # WorldSpeech
 
-**53,635 hours of transcribed speech across 113 language–region configs**, drawn from national parliaments, public broadcasters, public-domain audiobooks, and international institutions (UN, ICC, Vatican Radio). 
-
-Every row consists of a 24 kHz speech utterance paired with a verified human transcript, an aligned ASR transcript, character error rate (CER) between the two, a WADA-SNR estimate, and four DNSMOS-P.835 quality scores.
-
----
+A multilingual ASR dataset containing 53k hours of transcribed speech across 113 language-region variants, drawn from national parliaments, public broadcasters, public-domain audiobooks, and international institutions (UN, ICC, Vatican Radio). Row consists of a 24 kHz speech utterance paired with a verified human transcript, an aligned ASR transcript, character error rate (CER) between the two, a WADA-SNR estimate, and four DNSMOS-P.835 quality scores.
 
 ## Dataset Overview
 
@@ -778,8 +774,8 @@ Every row consists of a 24 kHz speech utterance paired with a verified human tra
 | Metric | Value |
 | :--- | :--- |
 | Total hours | 53,635 |
-| Language Variations | 113 |
 | Distinct languages | 79 |
+| Language variations | 113 |
 | Languages ≥ 1,000 h | 21 |
 | Languages ≥ 500 h | 27 |
 | Languages ≥ 200 h | 35 |
@@ -791,13 +787,13 @@ Every row consists of a 24 kHz speech utterance paired with a verified human tra
 ## How to use
 
 ```python
-from datasets import load_dataset, Audio
+from datasets import load_dataset
 
 ds = load_dataset("disco-eth/WorldSpeech", "nl_nl", split="train")
 
 row = ds[0]
-wav    = row["audio"]["array"]         # 1-D float64 numpy array, 24 kHz mono
-sr     = row["audio"]["sampling_rate"] # 24000
+wav    = row["audio"]["array"]         
+sr     = row["audio"]["sampling_rate"]
 text   = row["human_transcript"]
 snr    = row["snr"]
 dnsmos = row["dnsmos_ovr"]
@@ -806,7 +802,10 @@ dnsmos = row["dnsmos_ovr"]
 ### Streaming
 
 ```python
+from datasets import load_dataset
+
 ds = load_dataset("disco-eth/WorldSpeech", "nl_nl", split="train", streaming=True)
+
 for row in ds:
     wav = row["audio"]["array"]
     break
@@ -817,8 +816,8 @@ for row in ds:
 
 | Field | Type | Description |
 |---|---|---|
-| `audio` | `Audio` | OGG Opus decoded to `{"array": np.float64[N], "sampling_rate": 24000}`. **Null for metadata-only configs.** |
-| `human_transcript` | `string` | Verified human-written transcript |
+| `audio` | `Audio` | OGG Opus decoded to `{"array": np.float32[N], "sampling_rate": 24000}` |
+| `human_transcript` | `string` | Human-provided transcript |
 | `asr_transcript` | `string` | ASR output used for alignment and CER computation |
 | `cer` | `float32` | Character error rate between `asr_transcript` and `human_transcript` |
 | `snr` | `float32` | WADA-SNR estimate, dB |
@@ -839,12 +838,7 @@ for row in ds:
 ---
 
 
-## Configs
-
-113 configs total, sorted by hours descending.
-
-<details>
-<summary><b>Click to expand full configs table</b></summary>
+## Language Coverage
 
 | Config | Country | Language | Hours | DNSMOS OVR |
 |---|---|---|---|---|
@@ -963,30 +957,16 @@ for row in ds:
 | `ve_za` | South Africa | Venda | 0.1 | 2.72 |
 | **Total** | — | — | **53,634.6** | **2.82** |
 
-</details>
-
 ---
 
 ## Citation
 
 ```bibtex
-@misc{asonitis2026worldspeech,
-  title     = {},
-  author    = {},
-  year      = {2026},
-  note      = {Under review},
-  url       = {https://huggingface.co/datasets/disco-eth/WorldSpeech}
-}
+Coming soon.
 ```
 
 ---
 
-## Contact
-
-Issues, takedowns, license questions: open a discussion on this repository.
-
----
-
 ## Dataset License
 
 WorldSpeech is released under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). Individual source licenses apply per config and are listed in the [Licenses](#licenses) section. Where a source license is more restrictive than CC BY-NC 4.0, the more restrictive terms govern that config.