license:mit size_categories:n<1K format:csv modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# AffirmExtract

tags: corroboration, affirmation, dataset

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'AffirmExtract' dataset comprises textual data extracted from various sources where the objective is to identify and label instances of corroboration. The texts contain statements that may support or validate another statement, fact, or claim. Each row in the dataset represents a separate instance of text that has been analyzed for corroborative elements. The dataset includes a 'text' column with the source material and a 'labels' column that contains the identified corroboration instances. The labels assigned are general categorizations of the corroboration types found within the text.

**CSV Content Preview:**

```csv
"text","labels"
"The witness confirmed the suspect's alibi, which aligns with the timeline established by multiple eyewitness accounts.","Alibi Confirmation"
"Research papers often cite each other, demonstrating the corroborative nature of scientific progress.","Scientific Corroboration"
"The two reports by separate investigators reached the same conclusion, suggesting a high degree of corroboration in the findings.","Investigative Consensus"
"According to historical records, the date mentioned by the diary matches the astronomical event observed, which corroborates the diary's authenticity.","Historical Corroboration"
"Multiple witnesses have come forward, all attesting to the individual's character, thereby corroborating the claims made by the individual's friends.","Witness Corroboration"
```

**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 'corroboration identification and extraction':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=corroboration+identification+and+extraction&dataset=AffirmExtract&tags=corroboration,+affirmation,+dataset
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
