Update README.md

README.md

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----
-license: apache-2.0
-dataset_info:
-  features:
-  - name: audio
-    dtype:
-      audio:
-        sampling_rate: 16000
-  - name: speaker_id
-    dtype: string
-  - name: utt_id
-    dtype: string
-  - name: text
-    dtype: string
-  - name: accuracy
-    dtype: int32
-  - name: completeness
-    dtype: float32
-  - name: fluency
-    dtype: int32
-  - name: prosodic
-    dtype: int32
-  - name: total
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 260979874
-    num_examples: 2260
-  - name: val
-    num_bytes: 37136358
-    num_examples: 240
-  - name: test
-    num_bytes: 288161567
-    num_examples: 2500
-  download_size: 610453123
-  dataset_size: 586277799
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: val
-    path: data/val-*
-  - split: test
-    path: data/test-*
----
+---
+license: apache-2.0
+dataset_info:
+  features:
+  - name: audio
+    dtype:
+      audio:
+        sampling_rate: 16000
+  - name: speaker_id
+    dtype: string
+  - name: utt_id
+    dtype: string
+  - name: text
+    dtype: string
+  - name: accuracy
+    dtype: int32
+  - name: completeness
+    dtype: float32
+  - name: fluency
+    dtype: int32
+  - name: prosodic
+    dtype: int32
+  - name: total
+    dtype: int32
+  splits:
+  - name: train
+    num_bytes: 260979874
+    num_examples: 2260
+  - name: val
+    num_bytes: 37136358
+    num_examples: 240
+  - name: test
+    num_bytes: 288161567
+    num_examples: 2500
+  download_size: 610453123
+  dataset_size: 586277799
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: val
+    path: data/val-*
+  - split: test
+    path: data/test-*
+task_categories:
+- automatic-speech-recognition
+language:
+- en
+size_categories:
+- 1K<n<10K
+---
+
+# speechocean762: A non-native English corpus for pronunciation scoring task
+
+## Dataset Summary
+
+**speechocean762** is an open-source non-native English speech corpus designed for **pronunciation assessment** and **L2 spoken proficiency modeling**.
+This Hugging Face version provides **sentence-level audio and expert scores**, organized into standard `train` / `validation` / `test` splits.
+
+All speakers are Mandarin L1 learners of English, spanning both children and adults. Each utterance is evaluated independently by five expert annotators using standardized pronunciation metrics.
+
+This dataset is suitable for:
+- pronunciation scoring
+- L2 speech assessment
+- speech representation learning
+- downstream regression or classification tasks
+
+## Dataset Structure
+
+### Splits
+
+The dataset is published with three predefined splits:
+- `train` (2260)
+- `val` (240)
+- `test` (2500)
+
+Splits are **speaker-disjoint** and provided as native Hugging Face splits.
+
+### Features
+
+Each example contains:
+
+| Field | Type | Description |
+|--------|------|-------------|
+| `audio` | `Audio` | Speech waveform (16 kHz) |
+| `speaker_id` | `string` | Speaker identifier |
+| `utt_id` | `string` | Utterance identifier |
+| `text` | `string` | Prompt sentence |
+| `accuracy` | `int` | Sentence-level pronunciation accuracy |
+| `completeness` | `float` | Percentage of correctly pronounced words |
+| `fluency` | `int` | Sentence-level fluency score |
+| `prosodic` | `int` | Sentence-level prosody score |
+| `total` | `int` | Overall pronunciation score |
+
+## Scoring Metrics (Sentence level)
+All sentence-level scores follow the original speechocean762 definitions.
+For detailed descriptions, see: 
+- **arXiv:** https://arxiv.org/abs/2104.01378
+- **Github:** https://github.com/jimbozhang/speechocean762
+
+## Dataset Creation
+This Hugging Face dataset is derived from the original speechocean762 corpus and includes:
+- sentence-level audio
+- sentence-level expert scores
+- standardized HF Audio features
+- speaker-disjoint train/val/test splits
+
+Word-level and phoneme-level annotations are not included in this version.
+
+**Source Dataset**: https://huggingface.co/datasets/mispeech/speechocean762
+
+## License
+
+The original speechocean762 dataset is released for free use, including commercial and non-commercial purposes, as stated by the original authors.
+Users should consult the original repository for full licensing details.
+
+## Citation
+
+If you use this dataset, please cite the original paper:
+
+```bibtex
+@inproceedings{zhang2021speechocean762,
+  title={speechocean762: An Open-Source Non-native English Speech Corpus For Pronunciation Assessment},
+  author={Zhang, Junbo and Zhang, Zhiwen and Wang, Yongqing and Yan, Zhiyong and Song, Qiong and Huang, Yukai and Li, Ke and Povey, Daniel and Wang, Yujun},
+  booktitle={Proc. Interspeech 2021},
+  year={2021}
+}
+```
+
+## Acknowledgements
+
+All credit for data collection and annotation belongs to the original speechocean762 authors.
+This Hugging Face release focuses on standardized access and reproducibility for modern speech and representation learning pipelines.