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
---

# VerbConjugationClassifier

tags: language, grammar, NLP

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

**Dataset Description:**

The 'VerbConjugationClassifier' dataset is designed for training machine learning models to recognize and categorize various forms of verb conjugations across different languages. Each entry in the dataset consists of a verb in its base form and a labeled conjugation form. Labels correspond to specific conjugation types or cases, such as past simple, present continuous, or subjunctive mood. The dataset is structured to support natural language processing (NLP) tasks, with a focus on grammar and language-specific rules.

**CSV Content Preview:**

```csv
id,verb,conjugation,labels
1,to go,went,past_simple
2,to go,am going,present_continuous
3,to eat,eat,present_simple
4,to eat,ate,past_simple
5,to read,reading,present_continuous
```

**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 'verb conjugation':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=verb+conjugation&dataset=VerbConjugationClassifier&tags=language,+grammar,+NLP
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
