
# Hugging Face Dataset Card: Amoeba Mixed AI-Human Generated Samples

## Overview

Amoeba Mixed AI-Human Generated Samples is a massive dataset that contains a diverse collection of text samples generated by both AI models and human authors. With a size exceeding 13 GB, this dataset is designed to foster research and development in the field of natural language generation and understanding.

![Amoeba Icon](be80d624-1e5f-4732-b83f-29c59f8d11c8.jpg)

## Dataset Description

- Name: Amoeba Mixed AI-Human Generated Samples
- Size: Over 13 GB
- Split: Single split
- License: Open-source (Creative Commons License)
- Dataset Homepage: https://example.com/amoeba-dataset

## Intended Use

The Amoeba Mixed AI-Human Generated Samples dataset is intended for various natural language processing (NLP) tasks, including but not limited to:

- Text generation
- Language modeling
- Text classification
- Sentiment analysis
- Language translation
- Text summarization

## Data Sources

The dataset comprises a blend of AI-generated samples from the state-of-the-art language model, "Amoeba," and manually curated human-generated samples from diverse sources. By combining AI and human contributions, the dataset ensures a rich and varied distribution of language patterns and styles.

## Data Format

The data is provided in plain text format, with one sample per line. Each sample represents a unique text snippet that can range from a few words to full sentences.

Example:



task_categories:question-answering size_categories:1M<n<10M language:en license:apache-2.0 langauge comprehensive synthetic llm nlp region:us
{"language": ["en"], "license": "apache-2.0", "size_categories": ["1M<n<10M"], "task_categories": ["question-answering"], "pretty_name": "guanaco-extended", "tags": ["langauge", "comprehensive", "synthetic", "llm", "nlp"]}
TAGS
#task_categories-question-answering #size_categories-1M<n<10M #language-English #license-apache-2.0 #langauge #comprehensive #synthetic #llm #nlp #region-us 


# Hugging Face Dataset Card: Amoeba Mixed AI-Human Generated Samples

## Overview

Amoeba Mixed AI-Human Generated Samples is a massive dataset that contains a diverse collection of text samples generated by both AI models and human authors. With a size exceeding 13 GB, this dataset is designed to foster research and development in the field of natural language generation and understanding.

!Amoeba Icon

## Dataset Description

- Name: Amoeba Mixed AI-Human Generated Samples
- Size: Over 13 GB
- Split: Single split
- License: Open-source (Creative Commons License)
- Dataset Homepage: URL

## Intended Use

The Amoeba Mixed AI-Human Generated Samples dataset is intended for various natural language processing (NLP) tasks, including but not limited to:

- Text generation
- Language modeling
- Text classification
- Sentiment analysis
- Language translation
- Text summarization

## Data Sources

The dataset comprises a blend of AI-generated samples from the state-of-the-art language model, "Amoeba," and manually curated human-generated samples from diverse sources. By combining AI and human contributions, the dataset ensures a rich and varied distribution of language patterns and styles.

## Data Format

The data is provided in plain text format, with one sample per line. Each sample represents a unique text snippet that can range from a few words to full sentences.

Example:



# Hugging Face Dataset Card: Amoeba Mixed AI-Human Generated Samples ## Overview

Amoeba Mixed AI-Human Generated Samples is a massive dataset that contains a diverse collection of text samples generated by both AI models and human authors. With a size exceeding 13 GB, this dataset is designed to foster research and development in the field of natural language generation and understanding.

!Amoeba Icon ## Dataset Description

- Name: Amoeba Mixed AI-Human Generated Samples
- Size: Over 13 GB
- Split: Single split
- License: Open-source (Creative Commons License)
- Dataset Homepage: URL ## Intended Use

The Amoeba Mixed AI-Human Generated Samples dataset is intended for various natural language processing (NLP) tasks, including but not limited to:

- Text generation
- Language modeling
- Text classification
- Sentiment analysis
- Language translation
- Text summarization ## Data Sources

The dataset comprises a blend of AI-generated samples from the state-of-the-art language model, "Amoeba," and manually curated human-generated samples from diverse sources. By combining AI and human contributions, the dataset ensures a rich and varied distribution of language patterns and styles. ## Data Format

The data is provided in plain text format, with one sample per line. Each sample represents a unique text snippet that can range from a few words to full sentences.

Example:
TAGS
#task_categories-question-answering #size_categories-1M<n<10M #language-English #license-apache-2.0 #langauge #comprehensive #synthetic #llm #nlp #region-us 
 # Hugging Face Dataset Card: Amoeba Mixed AI-Human Generated Samples ## Overview

Amoeba Mixed AI-Human Generated Samples is a massive dataset that contains a diverse collection of text samples generated by both AI models and human authors. With a size exceeding 13 GB, this dataset is designed to foster research and development in the field of natural language generation and understanding.

!Amoeba Icon ## Dataset Description

- Name: Amoeba Mixed AI-Human Generated Samples
- Size: Over 13 GB
- Split: Single split
- License: Open-source (Creative Commons License)
- Dataset Homepage: URL ## Intended Use

The Amoeba Mixed AI-Human Generated Samples dataset is intended for various natural language processing (NLP) tasks, including but not limited to:

- Text generation
- Language modeling
- Text classification
- Sentiment analysis
- Language translation
- Text summarization ## Data Sources

The dataset comprises a blend of AI-generated samples from the state-of-the-art language model, "Amoeba," and manually curated human-generated samples from diverse sources. By combining AI and human contributions, the dataset ensures a rich and varied distribution of language patterns and styles. ## Data Format

The data is provided in plain text format, with one sample per line. Each sample represents a unique text snippet that can range from a few words to full sentences.

Example: