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README.md
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# Dataset Card for MultiModal Dataset
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## Table of Contents
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## Dataset Description
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### Data Instances
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**FineWeb (text) example:**
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{
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"id": 42,
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"text": "The history of artificial intelligence begins with ancient myths and stories of artificial beings endowed with intelligence or consciousness by master craftsmen. The seeds of modern AI were planted by classical philosophers who attempted to describe human thinking as a symbolic system...",
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"modality": "text"
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}
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**COCO (image+text) example:**
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{
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"id": 156,
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"text": "A person riding a bicycle on a city street during sunset",
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"image": "<PIL.Image.Image image mode=RGB size=512x512>",
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"modality": "image"
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}
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**AudioSet (audio+text) example:**
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{
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"id": 89,
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"text": "Speech, Music, Piano",
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},
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"modality": "audio"
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}
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### Data Fields
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If you use this dataset, please cite the original source datasets:
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@misc{fineweb2024,
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title={FineWeb: decanting the web for the finest text data at scale},
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author={Penedo, Guilherme and Cappelli, Alessandro and Cojocaru, Liviu and Alobeidli, Hynek and Pannier, Baptiste and Almazrouei, Ebtesam and Launay, Julien},
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year={2017},
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organization={IEEE}
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}
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### Contributions
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## Quick Start
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from datasets import load_dataset
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# Load a specific subset and split
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print(f"Text: {sample['text']}")
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print(f"Modality: {sample['modality']}")
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print("---")
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For more examples, see the [Dataset Structure](#dataset-structure) section.
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# Dataset Card for MultiModal Dataset
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## Table of Contents
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1. [Dataset Card for MultiModal Dataset](#dataset-card-for-multimodal-dataset)
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1. [Table of Contents](#table-of-contents)
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2. [Dataset Description](#dataset-description)
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1. [Dataset Summary](#dataset-summary)
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2. [Supported Tasks](#supported-tasks)
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3. [Languages](#languages)
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3. [Dataset Structure](#dataset-structure)
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1. [Data Instances](#data-instances)
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2. [Data Fields](#data-fields)
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1. [FineWeb Subset](#fineweb-subset)
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2. [COCO Subset](#coco-subset)
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3. [AudioSet Subset](#audioset-subset)
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3. [Data Splits](#data-splits)
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4. [Dataset Creation](#dataset-creation)
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1. [Curation Rationale](#curation-rationale)
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2. [Source Data](#source-data)
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1. [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
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2. [Who are the source language producers?](#who-are-the-source-language-producers)
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3. [Annotations](#annotations)
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1. [Annotation process](#annotation-process)
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2. [Who are the annotators?](#who-are-the-annotators)
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4. [Personal and Sensitive Information](#personal-and-sensitive-information)
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5. [Considerations for Using the Data](#considerations-for-using-the-data)
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1. [Social Impact of Dataset](#social-impact-of-dataset)
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2. [Discussion of Biases](#discussion-of-biases)
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3. [Other Known Limitations](#other-known-limitations)
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6. [Additional Information](#additional-information)
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1. [Dataset Curators](#dataset-curators)
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2. [Licensing Information](#licensing-information)
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3. [Citation Information](#citation-information)
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4. [Contributions](#contributions)
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7. [Quick Start](#quick-start)
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## Dataset Description
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### Data Instances
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**FineWeb (text) example:**
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```json
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{
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"id": 42,
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"text": "The history of artificial intelligence begins with ancient myths and stories of artificial beings endowed with intelligence or consciousness by master craftsmen. The seeds of modern AI were planted by classical philosophers who attempted to describe human thinking as a symbolic system...",
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"modality": "text"
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}
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```
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**COCO (image+text) example:**
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```json
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{
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"id": 156,
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"text": "A person riding a bicycle on a city street during sunset",
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"image": "<PIL.Image.Image image mode=RGB size=512x512>",
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"modality": "image"
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}
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```
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**AudioSet (audio+text) example:**
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```json
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{
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"id": 89,
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"text": "Speech, Music, Piano",
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},
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"modality": "audio"
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}
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```
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### Data Fields
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If you use this dataset, please cite the original source datasets:
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```bibtex
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@misc{fineweb2024,
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title={FineWeb: decanting the web for the finest text data at scale},
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author={Penedo, Guilherme and Cappelli, Alessandro and Cojocaru, Liviu and Alobeidli, Hynek and Pannier, Baptiste and Almazrouei, Ebtesam and Launay, Julien},
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year={2017},
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organization={IEEE}
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}
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```
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### Contributions
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## Quick Start
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```python
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from datasets import load_dataset
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# Load a specific subset and split
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print(f"Text: {sample['text']}")
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print(f"Modality: {sample['modality']}")
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print("---")
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```
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For more examples, see the [Dataset Structure](#dataset-structure) section.
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