OpenAssistant/oasst1 已完整同步
OpenAssistant Conversations Dataset (OASST1)
Dataset Description
- Homepage: https://www.open-assistant.io/
- Repository: https://github.com/LAION-AI/Open-Assistant
- Paper: https://arxiv.org/abs/2304.07327
Dataset Summary
In an effort to democratize research on large-scale alignment, we release OpenAssistant Conversations (OASST1), a human-generated, human-annotated assistant-style conversation corpus consisting of 161,443 messages in 35 different languages, annotated with 461,292 quality ratings, resulting in over 10,000 fully annotated conversation trees. The corpus is a product of a worldwide crowd-sourcing effort involving over 13,500 volunteers.
Please refer to our paper for further details.
Dataset Structure
This dataset contains message trees. Each message tree has an initial prompt message as the root node, which can have multiple child messages as replies, and these child messages can have multiple replies.
All messages have a role property: this can either be "assistant" or "prompter". The roles in conversation threads from prompt to leaf node strictly alternate between "prompter" and "assistant".
This version of the dataset contains data collected on the open-assistant.io website until April 12 2023.
JSON Example: Message
For readability, the following JSON examples are shown formatted with indentation on multiple lines. Objects are stored without indentation (on single lines) in the actual jsonl files.
{
"message_id": "218440fd-5317-4355-91dc-d001416df62b",
"parent_id": "13592dfb-a6f9-4748-a92c-32b34e239bb4",
"user_id": "8e95461f-5e94-4d8b-a2fb-d4717ce973e4",
"text": "It was the winter of 2035, and artificial intelligence (..)",
"role": "assistant",
"lang": "en",
"review_count": 3,
"review_result": true,
"deleted": false,
"rank": 0,
"synthetic": true,
"model_name": "oasst-sft-0_3000,max_new_tokens=400 (..)",
"labels": {
"spam": { "value": 0.0, "count": 3 },
"lang_mismatch": { "value": 0.0, "count": 3 },
"pii": { "value": 0.0, "count": 3 },
"not_appropriate": { "value": 0.0, "count": 3 },
"hate_speech": { "value": 0.0, "count": 3 },
"sexual_content": { "value": 0.0, "count": 3 },
"quality": { "value": 0.416, "count": 3 },
"toxicity":
11 个文件
浏览文件数据集版权信息
本数据集的许可证为 Apache License 2.0。如有违反相关条款,请联系 WEHUB,我们将及时处理。 查看许可证
通过 WeHub CLI 下载当前数据集快照。下列命令会固定为当前页面展示的数据版本(如果页面提供版本)。文件字节由本机直连存储下载,浏览器不会签发或保存下载链接。
前置要求
需要 Node.js 18 及以上,以及 npm(或 npx)。
1. 安装 CLI
npm install -g wehub-cli@latest
2. 下载此数据集
wehub datasets download ds_ext_76c0d1a8ff --revision fdf72ae0827c1cda404aff25b6603abec9e3399b --output ./ds_ext_76c0d1a8ff
若中断或部分失败,在同一目录重新执行同一命令即可续传。默认会校验 SHA-256。
免全局安装
npx --yes wehub-cli@latest datasets download ds_ext_76c0d1a8ff --revision fdf72ae0827c1cda404aff25b6603abec9e3399b --output ./ds_ext_76c0d1a8ff
高级选项
以下为 wehub datasets download 已支持的参数示例:
强制重新下载,不复用已校验的本地文件
wehub datasets download ds_ext_76c0d1a8ff --revision fdf72ae0827c1cda404aff25b6603abec9e3399b --output ./ds_ext_76c0d1a8ff --overwrite
仅包含匹配路径
wehub datasets download ds_ext_76c0d1a8ff --revision fdf72ae0827c1cda404aff25b6603abec9e3399b --output ./ds_ext_76c0d1a8ff --include "*.jsonl"
排除匹配路径
wehub datasets download ds_ext_76c0d1a8ff --revision fdf72ae0827c1cda404aff25b6603abec9e3399b --output ./ds_ext_76c0d1a8ff --exclude "*.md"
提高并发下载数
wehub datasets download ds_ext_76c0d1a8ff --revision fdf72ae0827c1cda404aff25b6603abec9e3399b --output ./ds_ext_76c0d1a8ff --jobs 8
完整帮助:wehub datasets download --help