Duplicate from RyokoAI/Syosetu711K

Co-authored-by: undeleted person <[email protected]>

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README.md

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+---
+license: apache-2.0
+language:
+- ja
+tags:
+- novel
+- training
+task_categories:
+- text-classification
+- text-generation
+pretty_name: Syosetuka ni Narou 711K
+size_categories:
+- 100K<n<1M
+duplicated_from: RyokoAI/Syosetu711K
+---
+
+# Dataset Card for Syosetu711K
+
+*The BigKnow2022 dataset and its subsets are not yet complete. Not all information here may be accurate or accessible.*
+
+## Dataset Description
+
+- **Homepage:** (TODO)
+- **Repository:** <https://github.com/RyokoAI/BigKnow2022>
+- **Paper:** N/A 
+- **Leaderboard:** N/A
+- **Point of Contact:** Ronsor/undeleted <[email protected]>
+
+### Dataset Summary
+
+Syosetu711K is a dataset composed of approximately 711,700 novels scraped from the Japanese novel self-publishing
+website Syosetuka ni Narou (JA: 小説家になろう, lit. "Let's Become a Novelist") between March 26 and March 27, 2023.
+The dataset contains most if not all novels published on the site, regardless of length or quality; however, we
+include metadata so users of this dataset can filter and evaluate its contents.
+
+Syosetu711Kは、日本の小説投稿サイト「小説家になろう」から2023年3月26日から27日にかけてスクレイプされた約711,700冊の小説から
+構成されるデータセットです。このデータセットには、長さや品質に関係なく、サイトに掲載されているほとんどの小説が含まれています。ただし、
+各小説のIDも含まれているため、小説家になろうAPIを使ってその情報を検索することができます。
+
+### Supported Tasks and Leaderboards
+
+This dataset is primarily intended for unsupervised training of text generation models; however, it may be useful for other purposes.
+
+* text-classification
+* text-generation
+
+### Languages
+
+* Japanese
+
+## Dataset Structure
+
+### Data Instances
+
+```json
+{
+ "text": "【小説タイトル】\n焼けて爛れる恋よりも、微睡む優しい愛が欲しい\n【Ｎコード】\nＮ５０２９ＩＤ\n【作者名】\n秋暁秋季\n【あらすじ】\n俺の彼女は物凄く気の多い人だった。\nお眼鏡に適う奴が居れば、瞳孔を蕩
+けさせる人だった。\nその癖照れ屋で、すぐに目を逸らす。\nな...",
+ "meta": {
+ "subset": "syosetu",
+ "q": 0.6,
+ "id": "N5029ID",
+ "author": "秋暁秋季",
+ "userid": 719797,
+ "title": "焼けて爛れる恋よりも、微睡む優しい愛が欲しい",
+ "length": 871,
+ "points": 0,
+ "lang": "ja",
+ "chapters": 1,
+ "keywords": ["気が多い", "浮気性", "無愛想", "照れる", "嫉妬", "好みではない", "クソデカ感情", "空気のような安心感"],
+ "isr15": 0,
+ "genre": 102,
+ "biggenre": 1
+ }
+}
+{
+ "text": "【小説タイトル】\n【能力者】\n【Ｎコード】\nＮ９８６４ＩＢ\n【作者名】\n夢音いちご\n【あらすじ】\n私立アビリティ学園。\n小・中・高・大が一貫となった、大規模な名門校。\nそして、ここは規模の大きさだけ
+でなく、ある特殊な制度を設けて\nいることでも有名だ。\nそれ...",
+ "meta": {
+ "subset": "syosetu",
+ "q": 0.6,
+ "id": "N9864IB",
+ "author": "夢音いちご",
+ "userid": 1912777,
+ "title": "【能力者】",
+ "length": 2334,
+ "points": 0,
+ "lang": "ja",
+ "chapters": 2,
+ "keywords": ["ガールズラブ", "身分差", "伝奇", "日常", "青春", "ラブコメ", "女主人公", "学園", "魔法", "超能力"],
+ "isr15": 0,
+ "genre": 202,
+ "biggenre": 2
+ }
+}
+```
+
+### Data Fields
+
+* `text`: the actual novel text, all chapters
+* `meta`: novel metadata
+ * `subset`: dataset tag: `syosetu`
+ * `lang`: dataset language: `ja` (Japanese)
+ * `id`: novel ID/ncode
+ * `author`: author name
+ * `userid`: author user ID
+ * `title`: novel title
+ * `length`: novel length in words
+ * `points`: global points (corresponds to `global_point` from the Syosetu API)
+ * `q`: q-score (quality score) calculated based on `points`
+ * `chapters`: number of chapters (corresponds to `general_all_no` from the Syosetu API)
+ * `keywords`: array of novel keywords (corresponds to `keyword` from the Syosetu API, split on spaces)
+ * `isr15`: whether the novel is rated R15+
+ * `genre`: novel genre ID (optional, see Syosetu API documentation)
+ * `biggenre`: general novel genre ID (optional, see Syosetu API documentation)
+ * `isr18`: whether the novel is rated R18+
+ * `nocgenre`: novel genre ID (optional, only available if `isr18` is true, see Syosetu API documentation)
+ 
+*For further reference, see the Syosetuka ni Narou API documentation: <https://dev.syosetu.com/man/api/> (JA).*
+
+#### Q-Score Distribution
+
+```
+0.00: 0
+0.10: 0
+0.20: 0
+0.30: 0
+0.40: 0
+0.50: 213005
+0.60: 331393
+0.70: 101971
+0.80: 63877
+0.90: 1542
+1.00: 2
+```
+
+### Data Splits
+
+No splitting of the data was performed.
+
+## Dataset Creation
+
+### Curation Rationale
+
+Syosetuka ni Narou is the most popular website in Japan for authors wishing to self-publish their novels online. Many works on
+the site been picked up by large commercial publishers. Because of this, we believe that this dataset provides a large corpus
+of high-quality, creative content in the Japanese language.
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+*More information about any referenced scripts, commands, or programs used may be found in the BigKnow2022 GitHub repository.*
+
+First, metadata for all novels on the site was gathered into a JSON lines (JSONL) file. The Syosetuka ni Narou API was used to
+obtain this information.
+
+Second, this listing was used to create a secondary text file containing a list of only the novel "ncodes," or IDs. This
+secondary file was distributed to downloader nodes.
+
+Third, the sister site <https://pdfnovels.net> was queried with each novel ID, and the resulting PDF was saved for later processing.
+
+Fourth, the `pdftotext` tool was used to convert the PDF files to text documents. A few other scripts were then used to clean up
+the resulting text files.
+
+Finally, the text files and other metadata were converted into the specified data field schema above, and the resulting JSON entries
+were concatenated into the Syosetu711K dataset. The version uploaded to this repository, however, is split into multiple files,
+numbered 00 through 20 inclusive.
+
+#### Who are the source language producers?
+
+The authors of each novel.
+
+### Annotations
+
+#### Annotation process
+
+Titles and general genre were collected alongside the novel text and IDs.
+
+#### Who are the annotators?
+
+There were no human annotators.
+
+### Personal and Sensitive Information
+
+The dataset contains only works of fiction, and we do not believe it contains any PII.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+This dataset is intended to be useful for anyone who wishes to train a model to generate "more entertaining" content in Japanese.
+It may also be useful for other languages depending on your language model.
+
+### Discussion of Biases
+
+This dataset is composed of fictional works by various authors. Because of this fact, the contents of this dataset will reflect
+the biases of those authors. **Additionally, this dataset contains NSFW material and was not filtered. Beware of stereotypes.**
+
+### Other Known Limitations
+
+N/A
+
+## Additional Information
+
+### Dataset Curators
+
+Ronsor Labs
+
+### Licensing Information
+
+Apache 2.0, for all parts of which Ronsor Labs or the Ryoko AI Production Committee may be considered authors. All other material is
+distributed under fair use principles.
+
+### Citation Information
+
+```
+@misc{ryokoai2023-bigknow2022,
+ title = {BigKnow2022: Bringing Language Models Up to Speed},
+ author = {Ronsor},
+ year = {2023},
+ howpublished = {\url{https://github.com/RyokoAI/BigKnow2022}},
+}
+```
+
+### Contributions
+
+Thanks to @ronsor (GH) for gathering this dataset.

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