test initial setup

README.md

@@ -1,3 +1,128 @@
----
-license: apache-2.0
----
+---
+license: cc-by-4.0
+task_categories:
+- text-to-speech
+- text-to-audio
+- automatic-speech-recognition
+
+language:
+- en
+
+size_categories:
+- 10K<n<100K
+
+configs:
+- config_name: small
+  data_files:
+  - split: train
+    path: "data/small/train/train*.parquet"
+    
+---
+# Dataset Card for Libriheavy-HQ
+
+WIP: This dataset is still a WIP, check back later.
+
+<!-- Provide a quick summary of the dataset. -->
+
+[Libriheavy](https://huggingface.co/datasets/pkufool/libriheavy): a 50,000 hours ASR corpus with punctuation casing 
+and context. Libriheavy is a labeled version of Libri-Light.
+ 
+Libriheavy-HQ replaces the default Libri-Light audio files with the highest quality available versions from librivox 
+encoded as .wav files at a 48khz sampling rate. 
+
+In most cases, this consists an upgrade of the source audio from a 64kbps .mp3 to a 128kbps .mp3.
+
+## Overview
+
+This is the Libriheavy-HQ dataset, adapted for the `datasets` library.
+
+## Usage
+
+### Subsets
+
+Currently, only the "small" subset of [Libriheavy](https://huggingface.co/datasets/pkufool/libriheavy) is available.
+
+In the future, the "medium", and "large" will be available.
+
+The default configuration is "small".
+
+- "small": 509 hours of speech. 417 speakers averaging 1.22 hours per speaker. Does not overlap with other subsets.
+
+### Example
+
+Loading the `small` config with only the `train` split.
+```
+load_dataset("mythicinfinity/libriheavy-hq", "small", split="train")
+```
+
+Streaming is also supported.
+```
+load_dataset("mythicinfinity/libriheavy-hq", streaming=True)
+```
+
+### Columns
+
+```
+{
+    "id": datasets.Value("string"),
+    "speaker_id": datasets.Value("string"),
+    "audio": datasets.Audio(sampling_rate=48_000, mono=True),
+    "audio_duration": datasets.Value("float32"),
+    "text_original": datasets.Value("string"),
+    "text_transcription": datasets.Value("string"),
+    "librivox_book_id": datasets.Value("string"),
+}
+```
+
+### Example Row
+
+```
+{
+  'audio': {
+    'path': '/home/user/.cache/huggingface/datasets/downloads/extracted/5551a515e85b9e463062524539c2e1cb52ba32affe128dffd866db0205248bdd/LibriTTS/dev-clean/3081/166546/3081_166546_000028_000002.wav', 
+    'array': ..., 
+    'sampling_rate': 24000
+  }, 
+  'text_normalized': 'How quickly he disappeared!"',
+  'text_original': 'How quickly he disappeared!"',
+  'speaker_id': '3081', 
+  'path': '/home/user/.cache/huggingface/datasets/downloads/extracted/5551a515e85b9e463062524539c2e1cb52ba32affe128dffd866db0205248bdd/LibriTTS/dev-clean/3081/166546/3081_166546_000028_000002.wav', 
+  'chapter_id': '166546', 
+  'id': '3081_166546_000028_000002'
+}
+```
+
+## Dataset Details
+
+### Dataset Description
+
+- **Libriheavy License:** Apache 2.0
+
+### Dataset Sources [optional]
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Libriheavy Homepage:** https://github.com/k2-fsa/libriheavy
+- **Libriheavy Paper:** https://arxiv.org/abs/2309.08105
+
+## Citations
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+```
+@misc{Thornbury2024LibriheavyHQ,
+	author = {{Thornbury, Bryan and Mythic Infinity Labs}},
+	title = {{Libriheavy-HQ}},
+	year = {2024},
+	url = {https://huggingface.co/mythicinfinity/libriheavy-hq},
+}
+
+@misc{kang2023libriheavy,
+      title={Libriheavy: a 50,000 hours ASR corpus with punctuation casing and context}, 
+      author={Wei Kang and Xiaoyu Yang and Zengwei Yao and Fangjun Kuang and Yifan Yang and Liyong Guo and Long Lin and Daniel Povey},
+      year={2023},
+      eprint={2309.08105},
+      archivePrefix={arXiv},
+      primaryClass={eess.AS}
+}
+```

data/small/train/train-00000-of-00001.parquet

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