Duplicate from iosscu/Refined-Anime-Text

Co-authored-by: Gheorghe Georgescu <iosscu@users.noreply.huggingface.co>

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README.md

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+---
+license: wtfpl
+language:
+- en
+- zh
+tags:
+- synthetic
+task_categories:
+- text-generation
+size_categories:
+- 1M<n<10M
+---
+# Refined Anime Text for Continual Pre-training of Language Models
+
+This is a subset of our novel synthetic dataset of anime-themed text, containing over 1M entries, ~440M GPT-4/3.5 tokens. This dataset has never been publicly released before. We are releasing this subset due to the community's interest in anime culture, which is underrepresented in general-purpose datasets, and the low quality of raw text due to the prevalence of internet slang and irrelevant content, making it difficult to clean.
+
+This dataset is intended for research on data governance of internet subcultures in large language models and to explore challenging LLM continual pre-training problems such as knowledge distillation on specific topics and continual learning of unseen knowledge.
+
+The data was created by taking web-scraped text data (wikipedia excluded in this subset), passing the full web page text through a large language model (GPT-4-32k/GPT-3.5-16K, switching dynamically based on the difficulty) that supports long context windows, and synthesizing a refined version.
+
+According to the latest prices at the time of its release, the cost of creating this anime subset is ~$25K, with GPT-4-32K accounting for no less than 25% of the total (although in most cases, it is used for more challenging tasks in Chinese).
+
+The dataset contains text in English and Chinese.
+
+Thank you to [milashkaarshif/MoeGirlPedia_wikitext_raw_archive](https://huggingface.co/datasets/milashkaarshif/MoeGirlPedia_wikitext_raw_archive) and [RyokoAI/Fandom23K](https://huggingface.co/datasets/RyokoAI/Fandom23K) for the inspiration. All the data is obtained from publicly available text crawled from the internet, following the rules specified in robots.txt. The data was compiled in February 2024.
+
+Subsets for other topics will be released in the future, so please stay tuned.
+
+# 用于语言模型的持续预训练的高质量动漫主题文本数据
+
+这是一份包含超过一百万条、约4400万个 GPT-4/3.5 token的、全新合成的文本数据集的动漫主题子集。该数据集此前从未公开发布过。由于社区对动漫文化的浓厚兴趣，且考虑到通识数据集中此类题材的代表性不足，以及原始文本中网络俚语和无关内容的泛滥而导致的低质量、难以清理的问题，我们决定发布这份子集供进一步研究。
+
+这份数据集旨在用于研究大型语言模型中网络亚文化的数据治理，并探索具有挑战性的 LLM 持续预训练问题，例如特定主题的知识蒸馏以及对未见知识的持续学习。
+
+该数据是通过以下方式创建的：获取网络爬取的文本数据（此子集中不包含维基百科内容），将完整的网页文本通过支持长文本窗口的大型语言模型（GPT-4-32k/GPT-3.5-16K，根据难度动态切换），并合成一个精炼版本。
+
+根据发布时的最新价格，创建这份动漫主题数据子集的成本约为 2.5 万美元，其中 GPT-4-32K 占比不低于 25%（大多数情况下，它用于处理更具挑战性的中文任务）。
+
+数据集包含英文和中文文本。
+
+感谢 [milashkaarshif/MoeGirlPedia_wikitext_raw_archive](https://huggingface.co/datasets/milashkaarshif/MoeGirlPedia_wikitext_raw_archive) 和 [RyokoAI/Fandom23K](https://huggingface.co/datasets/RyokoAI/Fandom23K) 提供的灵感。所有数据均从互联网上公开可用的文本中爬取，遵循 robots.txt 中规定的规则。数据于 2024 年 2 月编译。
+
+其他主题的子集将在未来发布，敬请期待。

Refined-Anime-Text.json

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