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README.md
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---
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language:
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- ja
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pretty_name: 2ch.sc
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---
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# **2ch.sc Corpus**
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### A Large-Scale Japanese Anonymous Web Forum Dataset
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This dataset is a large-scale corpus of user-generated text scraped from `2ch.sc`, a massive and influential anonymous Japanese textboard. As a major successor to the original 2channel (`2ch.net`), it represents a significant, unfiltered snapshot of Japanese internet culture, dialogue, and public opinion spanning decades. The data consists of billions of posts across thousands of topic-specific boards, offering an unparalleled resource for studying informal language, online subcultures, and social trends.
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## Dataset Structure
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The corpus is organized into compressed JSON Lines files (`.jsonl.zst`), where each file represents a single forum board.
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**File Naming Convention:**
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The filenames follow the pattern `newdump-{region}_{board_name}.jsonl.zst`.
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* **`region`**: Corresponds to the server or subdomain (e.g., `ikura`).
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* **`board_name`**: The name of the specific board (e.g., `anime2`).
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Each line within a file is a JSON object representing a single thread.
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### Data Fields
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| Field | Type | Description |
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| :--- | :--- | :--- |
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| `id` | Integer | The unique identifier for the thread (timestamp-based). |
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| `title` | String | The title of the thread. |
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| `region` | String | The server/subdomain where the thread originated. |
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| `city` | String | The name of the board. |
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| `replies` | Integer | The total number of replies in the thread. |
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| `messages` | Array[Object] | An array containing all posts within the thread. |
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### Message Object Structure
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Each object in the `messages` array contains the following fields for an individual post:
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| Field | Type | Description |
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| :--- | :--- | :--- |
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| `name` | String | The username of the poster, often including tripcodes or other identifiers. |
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| `mail` | String | The content of the "mail" field, often used for names such as `sage`. |
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| `dateid` | String | Timestamp and user ID string (e.g., `2016/05/19(木) 00:03:16.25 ID:uDE3xZkb0.net`). |
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| `body` | String | The raw HTML content of the post. |
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| `title` | String / Null | The title of the post, typically only present for the first post in a thread. |
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<details>
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<summary><strong>Click to view a sample JSON object for a single thread</strong></summary>
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```json
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{
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"id": 1463583796,
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"title": "ガールズ&パンツァー GIRLS und PANZER 1591輌目",
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"region": "ikura",
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"city": "anime2",
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"replies": 1005,
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"messages": [
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{
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"name": "名無しさん@お腹いっぱい。@\(^o^)/</b>(ワッチョイ f8f1-xKv1)<b>",
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"mail": "hageteon",
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"dateid": "2016/05/19(木) 00:03:16.25 ID:uDE3xZkb0.net",
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"body": " !extend:on:vvvvv:1000:512 <br> ↑冒頭にコレを二行重ねてスレ立てしておく <br> <br> 戦車道は大和撫子のたしなみ!戦車(パンツァー)のある学園生活、はじ��ました。 <br> ===========================重要=========================================== <br> ・【※実況厳禁】→アニメ特撮実況板:ttp://hayabusa.2ch.net/liveanime/ <br> ・公式以外の動画サイト、ファイル共有に関する話題・URL貼りは厳禁 <br> ・sage進行推奨/煽り、荒らしは徹底放置/2chブラウザの導入推奨 <br> ・次スレは<a href=\"../test/read.cgi/anime2/1463583796/900\" rel=\"noopener noreferrer\" target=\"_blank\">>>900</a>が宣言してから立てる事。無反応なら<a href=\"../test/read.cgi/anime2/1463583796/930\" rel=\"noopener noreferrer\" target=\"_blank\">>>930</a>以降でスレ立て宣言順に立てる事 <br> ・次スレはwikiからコピペして立てて下さい <br> ・巡礼報告はプライバシーに十分配慮し、投稿前に内容を再確認。ガルパンファンとしてマナーを守りましょう <br> ========================================================================== <br> ●放送/配信情報 平成24年10月8日より 12話放送済 <br> TVシリーズ配信 ttp://girls-und-panzer.jp/mv_distribution.html <br> ●前スレ <br> ガールズ&パンツァー GIRLS und PANZER 1590輌目 <br> ttp://hanabi.2ch.net/test/read.cgi/anime2/1463498901/ <hr>VIPQ2_EXTDAT: default:vvvvv:1000:512:----: EXT was configured ",
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"title": "ガールズ&パンツァー GIRLS und PANZER 1591輌目"
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},
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{
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"name": "名無しさん@お腹いっぱい。@\(^o^)/ </b>(ワンミングク MMd0-MTTD)<b>",
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"mail": "sage",
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"dateid": "2016/05/19(木) 00:10:40.89 ID:QtmQIsphM.net",
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"body": " <a href=\"../test/read.cgi/anime2/1463583796/1\" rel=\"noopener noreferrer\" target=\"_blank\">>>1</a> <br> アリガタウ、アリガタウ ",
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"title": null
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}
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]
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}
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```
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</details>
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## Data Curation and Processing
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This dataset is a direct conversion from the native 2ch/5ch `.dat` format to JSON Lines. The raw data was compressed with Zstandard due to its large size (approximately **1.8 TB** uncompressed).
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The scraping code used for collection is provided in `KakoIndex.py`.
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## Language
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* **Primary Language:** Japanese (ja-JP)
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* **Characteristics:** The language is highly informal and specific to the platform's culture, containing extensive internet slang, neologisms, and non-standard linguistic phenomena.
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## Licensing Information
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The licensing for this dataset is complex and not clearly defined for academic or research use. The terms of use from the original source material are translated below.
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The author's interpretation is that the license is functionally similar to **CC-BY-NC-ND** (Attribution-NonCommercial-NoDerivatives).
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* **1. "Print Out / Copy / Free Distribution" OK Mark**
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* **Permitted:** Printing, copying, and free distribution of the work *as is*.
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* **Commercial Use:** Permitted only if the distribution is free (e.g., in a free company pamphlet).
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* **NOT Permitted:** Any modification, including changing, altering, processing, cutting, partial use, summarizing, translating, transforming, or adapting the work.
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* **2. "Non-profit Use for People with Disabilities" OK Mark**
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* **Permitted:** All forms of non-profit use (copying, transmitting, distributing) intended for people with disabilities. This includes modifications and adaptations.
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* **3. "Non-profit Use for School Education" OK Mark**
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* **Permitted:** All forms of non-profit use (copying, transmitting, distributing) for school activities. This includes modifications and adaptations.
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> **Disclaimer:** Researchers should consult the original terms on 2ch.sc and use this data at their own risk, considering the legal and ethical implications.
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## Potential Use Cases
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* **Large Language Model Training:** Training or fine-tuning models on informal, conversational Japanese.
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* **Sociolinguistics:** Studying the evolution of slang, memes, and online discourse.
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* **Sentiment Analysis:** Gauging public opinion on various topics (with awareness of significant demographic bias).
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* **Toxicity and Hate Speech Detection:** Developing models to identify harmful content in Japanese.
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* **Cultural Analytics:** Tracking and analyzing social trends and subcultural dynamics.
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## ⚠️ Ethical Considerations and Limitations
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This dataset must be handled with extreme care due to its unfiltered and anonymous nature.
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* **Hate Speech and Offensive Content:** The corpus contains a high volume of explicit, offensive, and discriminatory content.
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* **Misinformation and Disinformation:** The platform is a significant source of rumors, conspiracy theories, and deliberate misinformation.
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* **Toxicity and Pervasive Bias:** The data reflects strong biases (e.g., misogynistic, xenophobic, political). Models trained on this data will inherit and likely amplify these biases if not carefully mitigated.
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* **Lack of Representativeness:** The user base is a self-selecting demographic and is **not representative** of the general Japanese population.
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* **Privacy Risks:** Although pseudonymous, posts may contain personally identifiable information (PII) through doxxing or self-disclosure. Rigorous PII scrubbing is recommended.
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## A Note on the Crawling Process & お詫び (Apology)
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The original site prohibits crawling without prior consultation. The following note is from the website:
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> *負荷が掛かるので、事前相談の無いクローリングも禁止です。*
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> *Crawling without prior consultation is also prohibited as it places a load on the system.*
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Although prior consultation was not performed, the crawl was limited to a maximum of 128 concurrent connections, which in practice saturated the connection at approximately 100Mbps to minimize server load.
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