marin-community/open-thoughts-4-science-qwen3-32b-annotated
收藏Hugging Face2025-11-20 更新2025-12-20 收录
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---
# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
{}
---
# Dataset Card for Open-Thoughts-4-Science-Qwen3-32B-Annotated
<!-- Provide a quick summary of the dataset. -->
This dataset is the Qwen3-32B annotated version of [mlfoundations-dev/hero_run_4_science](https://huggingface.co/datasets/mlfoundations-dev/hero_run_4_science) curated by the
OpenThoughts4 team. We provide the responses from Qwen3-32B in the `generated_text` column. These samples were generated using temperature = 0.8 and max output tokens = 7,500.
We note that many of the responses are truncated, so use this dataset wisely!
## Dataset Details
### Dataset Description
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- **Curated by:** [More Information Needed]
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## Uses
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### Direct Use
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## Dataset Structure
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## Dataset Creation
### Curation Rationale
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### Source Data
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
#### Data Collection and Processing
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#### Who are the source data producers?
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### Annotations [optional]
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#### Annotation process
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## Bias, Risks, and Limitations
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{}
# Open-Thoughts-4-Science-Qwen3-32B-Annotated 数据集卡片
<!-- 请提供本数据集的简要概述。 -->
本数据集是由OpenThoughts4团队整理的[mlfoundations-dev/hero_run_4_science](https://huggingface.co/datasets/mlfoundations-dev/hero_run_4_science)的Qwen3-32B标注版本。我们在`generated_text`(生成文本)列中提供了Qwen3-32B生成的回复。这些样本使用temperature(温度系数)= 0.8以及max output tokens(最大输出Token数)= 7500生成。请注意,多数回复存在截断情况,请谨慎使用本数据集!
## 数据集详情
### 数据集描述
- **整理方:** [需补充更多信息]
- **资助方(可选):** [需补充更多信息]
- **共享方(可选):** [需补充更多信息]
- **自然语言处理所用语言:** [需补充更多信息]
- **许可证:** [需补充更多信息]
### 数据集来源(可选)
- **代码仓库:** [需补充更多信息]
- **相关论文(可选):** [需补充更多信息]
- **演示Demo(可选):** [需补充更多信息]
## 使用场景
### 直接使用
[需补充更多信息]
### 超出范围的使用场景
本部分说明不当使用、恶意使用,以及本数据集无法良好适配的使用场景。
[需补充更多信息]
## 数据集结构
本部分说明数据集字段,以及数据集拆分标准、数据点间关联等额外结构信息。
[需补充更多信息]
## 数据集创建
### 整理初衷
本部分说明创建该数据集的动机。
[需补充更多信息]
### 源数据
#### 数据收集与处理
本部分说明数据收集与处理流程,例如数据选择标准、过滤与归一化方法、所用工具与库等。
[需补充更多信息]
#### 源数据生产者是谁?
本部分说明原始创建数据的个人或系统。若可获取,还应包含源数据创建者自行申报的人口统计学或身份相关信息。
[需补充更多信息]
### 标注(可选)
#### 标注流程
本部分说明标注流程,例如标注所用工具、标注数据量、提供给标注者的标注指南、标注者间一致性统计、标注验证等。
[需补充更多信息]
#### 标注者是谁?
本部分说明创建标注的个人或系统。
[需补充更多信息]
#### 个人与敏感信息
说明本数据集是否包含可被视为个人、敏感或隐私的数据(例如:揭示地址、唯一可识别姓名或别名、种族或族裔出身、性取向、宗教信仰、政治观点、财务或健康数据等)。若已对数据进行匿名化处理,请说明匿名化流程。
[需补充更多信息]
## 偏差、风险与局限性
本部分旨在说明技术与社会技术层面的局限性。
[需补充更多信息]
### 建议
本部分旨在针对数据集的偏差、风险与技术局限性给出建议。
用户应知晓本数据集存在的风险、偏差与局限性。需补充更多信息以形成进一步建议。
## 引用(可选)
若有介绍该数据集的论文或博客文章,请在此处附上其APA格式与BibTeX格式引用信息。
**BibTeX格式:**
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**APA格式:**
[需补充更多信息]
## 术语表(可选)
若有需要,可在此处列出帮助读者理解数据集或数据集卡片的术语与计算公式。
[需补充更多信息]
## 更多信息(可选)
[需补充更多信息]
## 数据集卡片作者(可选)
[需补充更多信息]
## 数据集卡片联系人
[需补充更多信息]
提供机构:
marin-community



