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@laubonghaudoi
laubonghaudoi committed Nov 19, 2024
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Expand Up @@ -76,7 +76,7 @@ <h3 class="text-2xl text-gray-500">
Total Duration
</h3>
<p class="text-lg font-semibold m-4 text-black">
66.02 個鐘 hours <br />（3960.67 分鐘 minutes
66.02 個鐘 hours <br />（3960.67 分鐘 minutes）
</p>
</div>
<div class="bg-white rounded-lg text-center my-12">
Expand All @@ -98,27 +98,26 @@ <h3 class="text-2xl text-gray-500">
<section class="col-span-2 mb-12">
<h2 class="text-3xl my-8">介紹 Introduction</h2>
<p class="text-gray-700 text-xl mb-4">
本數據集由廣州最出名嘅話劇演員、説書藝人（講古佬）張悦楷講《三國演義》錄音製成。所有錄音均錄於
1980
年代。數據集所有文本均由人工轉寫，並根據《三國演義》原文校對嚟確保準確性。
本數據集由廣州最出名嘅話劇演員、説書藝人（講古佬）張悦楷喺 1980
年代電台播講《三國演義》嘅錄音製成。數據集所有文本均由人工轉寫，並根據《三國演義》原文校對嚟確保準確性。
</p>
<p class="text-gray-700 text-lg my-4">
<p class="text-gray-700 text-xl my-4">
This dataset was made from recordings of Zoeng Jyut Gaai, the most
famous drama actor and storyteller in Canton, storytelling
<em>Romance of the Three Kingdoms</em>. All recordings were recorded
in the 1980s. All texts in the dataset were transcribed manually and
proofread according to the original text of
<em>Romance of the Three Kingdoms </em> to ensure accuracy.
<em>Romance of the Three Kingdoms</em> during the 1980s. All texts
in the dataset were transcribed manually and proofread according to
the original text of <em>Romance of the Three Kingdoms </em> to
ensure accuracy.
</p>
<p class="text-gray-700 text-lg my-4">
<p class="text-gray-700 text-xl my-4">
本數據集可用於各種用途，例如語音合成（TTS）、語音識別（ASR）、語言模型（LLM）、語言學分析等等。<a
href="https://huggingface.co/spaces/laubonghaudoi/zoengjyutgaai_tts"
class="underline"
>
張悦楷語音合成 </a
>就係一個用本數據集訓練出嚟嘅 TTS 系統。
</p>
<p class="text-gray-700 text-lg my-4">
<p class="text-gray-700 text-xl my-4">
This dataset is multi-purposed. It can be used for Text-To-Speech
(TTS), Automatic Speech Recognition (ASR), Language Modeling,
linguistics analysis, etc. As an example,
Expand Down Expand Up @@ -163,53 +162,53 @@ <h2 class="text-3xl my-12">數據樣例 Data samples</h2>
<h2 class="text-3xl my-16">下載 Download</h2>
<div class="flex justify-center my-16">
<a
href="https://huggingface.co/datasets/laubonghaudoi/zoengjyutgaai_saamgwokjinji"
href="https://huggingface.co/datasets/CanCLID/zoengjyutgaai_saamgwokjinji"
target="_blank"
class="bg-yellow-300 text-black text-xl px-8 py-4 hover:bg-black hover:text-white transition-colors"
>
前往 🤗 Hugging Face 下載
</a>
</div>
<p class="text-gray-700 text-lg">
<p class="text-gray-700 text-xl">
如果你想單純克隆所有 wav 文件，可以用下面嘅命令嚟凈係克隆個
<code>wav/</code> 路徑，避免 clone 晒成個 repo：
</p>
<p class="text-gray-700 text-lg my-4">
<p class="text-gray-700 text-xl my-4">
If you want to clone only the wav files without cloning the entire
repo, use the following commands to clone the
<code>wav/</code> directory only:
</p>
<pre
class="text-nowrap p-4 bg-gray-100 overflow-auto my-4"
><code>git clone --filter=blob:none --sparse https://huggingface.co/datasets/laubonghaudoi/zoengjyutgaai_saamgwokjinji
><code>git clone --filter=blob:none --sparse https://huggingface.co/datasets/CanCLID/zoengjyutgaai_saamgwokjinji

cd zoengjyutgaai_saamgwokjinji

git sparse-checkout init --cone
git sparse-checkout set wav
git checkout</code></pre>
<p class="text-gray-700 text-lg my-4">
<p class="text-gray-700 text-xl my-4">
所有文字轉寫都喺 <code>wav/metadata.csv</code>入面。
</p>
<p class="text-gray-700 text-lg my-4">
<p class="text-gray-700 text-xl my-4">
All text transcriptions are in
<code>wav/metadata.csv</code>.
</p>

<h2 class="text-3xl my-12">説明 Info</h2>
<p class="text-lg mb-4">
<p class="text-xl mb-4">
所有源字幕 SRT 文件都存放喺 Hugging Face
倉庫嘅<code>srt/</code>路經下。所有源音頻都以 .webm 格式放喺
<code>.webm/</code> 路經下。
</p>
<p class="text-lg my-4">
<p class="text-xl my-4">
All source subtitle SRT files are stored in the
<code>srt/</code> directory of the Hugging Face repository. All
source audio are stored in .webm format in the
<code>.webm/</code> directory.
</p>

<ul class="text-lg my-4 px-4 list-disc">
<ul class="text-xl my-4 px-4 list-disc">
<li>
所有文本都根據
<a href="https://jyutping.org/blog/typo/" class="underline"
Expand All @@ -225,7 +224,7 @@ <h2 class="text-3xl my-12">説明 Info</h2>
<li>所有文本都用漢字轉寫，無阿拉伯數字無英文字母</li>
<li>所有音頻源都存放喺<code>/webm</code>下面</li>
</ul>
<ul class="text-lg my-4 px-4 list-disc">
<ul class="text-xl my-4 px-4 list-disc">
<li>
All text are standardized with the orthography in
<a href="https://jyutping.org/blog/typo/" class="underline"
Expand Down Expand Up @@ -355,12 +354,12 @@ <h2 class="text-3xl my-12">數據統計 Statistics</h2>
</table>

<h2 class="text-3xl my-12">引用 Citation</h2>
<p class="text-gray-700 text-lg">
<p class="text-gray-700 text-xl">
本數據集屬公共領域，遵循
<a href="https://creativecommons.org/public-domain/cc0/">CC0</a>
許可聲明。即係話你可以無需授權免費任用本數據集，亦都唔需要註明出處。不過如果你用咗本數據集，我哋都希望你可以引用本頁面，作為對楷叔嘅懷念同致敬：
</p>
<p class="text-gray-700 text-lg my-4">
<p class="text-gray-700 text-xl my-4">
This dataset is in the public domain and follows the
<a href="https://creativecommons.org/public-domain/cc0/">CC0</a>
license agreement. This means you can use this dataset for free
Expand All @@ -377,21 +376,21 @@ <h2 class="text-3xl my-12">引用 Citation</h2>
>

<h2 class="text-3xl my-12">意見反饋 Feedback</h2>
<p class="text-gray-700 text-lg my-4">
<p class="text-gray-700 text-xl my-4">
數據集建設難免有疏漏，如果你發現有任何錯誤、問題，或者有任何意見，歡迎喺
<a
class="underline"
href="https://huggingface.co/datasets/laubonghaudoi/zoengjyutgaai_saamgwokjinji/discussions"
href="https://huggingface.co/datasets/CanCLID/zoengjyutgaai_saamgwokjinji/discussions"
>
Hugging Face 討論區 </a
>提出。
</p>
<p class="text-gray-700 text-lg my-4">
<p class="text-gray-700 text-xl my-4">
Dataset construction is inevitably flawed. If you find any errors,
problems, or have any suggestions, feel free to raise them in the
<a
class="underline"
href="https://huggingface.co/datasets/laubonghaudoi/zoengjyutgaai_saamgwokjinji/discussions"
href="https://huggingface.co/datasets/CanCLID/zoengjyutgaai_saamgwokjinji/discussions"
>
Hugging Face discussion forum</a
>.
Expand Down

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