| | --- |
| | 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 <ronsor@ronsor.com> |
| |
|
| | ### 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. |
