infinite-dataset-hub/ValidateInText
收藏资源简介：
--- license: mit tags: - infinite-dataset-hub - synthetic --- # ValidateInText tags: validation, text-analysis, extract-evidence _Note: This is an AI-generated dataset so its content may be inaccurate or false_ **Dataset Description:** The 'ValidateInText' dataset comprises paragraphs of text extracted from research papers, articles, or reports, with the objective of identifying whether certain pieces of evidence are explicitly stated within the text. The dataset labels each entry with a binary 'evidence_present' indicator (0 for 'no', 1 for 'yes'), and also includes a column for 'extracted_evidences' where relevant evidence sentences are listed. This dataset is structured to aid in the development and evaluation of text analysis models, particularly those focused on evidence extraction and validation. **CSV Content Preview:** ```csv paragraph,evidence_present,extracted_evidences "The results indicate a significant reduction in tumor size after treatment.","1","Results show a reduction in tumor size." "There is no evidence to support the claim that the medication improves memory.","0","N/A" "The study found a strong correlation between exercise and improved mental health.","1","A strong correlation between exercise and improved mental health." "While the theory is intriguing, there is insufficient evidence to conclude its effectiveness.","0","Insufficient evidence to conclude effectiveness." "The research conclusively demonstrates that the new drug has a positive impact on patient recovery.","1","The new drug has a positive impact on patient recovery." ``` This CSV preview contains a selection of five rows of data, each corresponding to a unique paragraph. It labels whether evidence is present and lists the extracted evidence if available. This format facilitates easy processing for machine learning models focused on text analysis tasks. **Source of the data:** The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'paragraph, evidence is there or not, extracted evidences from paragraph': - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=paragraph,+evidence+is+there+or+not,+extracted+evidences+from+paragraph&dataset=ValidateInText&tags=validation,+text-analysis,+extract-evidence - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
--- 许可证：MIT协议 tags: - 无限数据集中心 - 合成数据集 --- # ValidateInText 标签：验证、文本分析、证据提取 注意：本数据集由人工智能生成，其内容可能存在不准确或虚假之处 ## 数据集说明： ValidateInText数据集包含从学术论文、文章或报告中提取的文本段落，核心目标为判断文本中是否明确提及特定证据。该数据集为每条数据标注了二元`evidence_present（证据存在性）`标签（0代表"否"，1代表"是"），同时包含名为`extracted_evidences（提取证据）`的列，用于列出相关的证据句子。本数据集的构建旨在助力文本分析模型的开发与评估，尤其适用于聚焦证据提取与验证的相关模型。 ## CSV内容预览： csv paragraph,evidence_present,extracted_evidences "The results indicate a significant reduction in tumor size after treatment.","1","Results show a reduction in tumor size." "There is no evidence to support the claim that the medication improves memory.","0","N/A" "The study found a strong correlation between exercise and improved mental health.","1","A strong correlation between exercise and improved mental health." "While the theory is intriguing, there is insufficient evidence to conclude its effectiveness.","0","Insufficient evidence to conclude effectiveness." "The research conclusively demonstrates that the new drug has a positive impact on patient recovery.","1","The new drug has a positive impact on patient recovery." 本CSV预览共包含5条数据行，每条对应一段独立文本。其标注了证据是否存在，并在存在对应证据时列出提取出的证据内容。该格式便于聚焦文本分析任务的机器学习模型进行便捷处理。 ## 数据集来源： 本数据集通过[无限数据集中心（Infinite Dataset Hub）]以及microsoft/Phi-3-mini-4k-instruct模型，基于查询指令"paragraph, evidence is there or not, extracted evidences from paragraph"生成： - **数据集生成页面**：https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=paragraph,+evidence+is+there+or+not,+extracted+evidences+from+paragraph&dataset=ValidateInText&tags=validation,+text-analysis,+extract-evidence - **模型**：https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **更多数据集**：https://huggingface.co/datasets?other=infinite-dataset-hub
