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prithivMLmods/Img2Text-Plaintext-Retrieval

Img2Text-Plaintext-Retrieval Dataset Dataset Overview The Img2Text-Plaintext-Retrieval dataset is designed for retrieving plaintext descriptions from corresponding algorithm images. This dataset consists of structured text, raw text, algorithm images, and metadata such as source URLs and filenames. It is suitable for tasks like OCR-based text retrieval, image-to-text learning, and document understanding. Dataset Details Modality: Image, Text… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Img2Text-Plaintext-Retrieval.

sourceHugging Faceopenrailupdated 1y agoView on Hugging Face

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Dataset Card

Img2Text-Plaintext-Retrieval Dataset

Dataset Overview

The Img2Text-Plaintext-Retrieval dataset is designed for retrieving plaintext descriptions from corresponding algorithm images. This dataset consists of structured text, raw text, algorithm images, and metadata such as source URLs and filenames. It is suitable for tasks like OCR-based text retrieval, image-to-text learning, and document understanding.

Dataset Details

—Modality: Image, Text
—Format: Parquet
—Size: ~456MB
—Total Rows: 4,471

Features

Column Name	Data Type	Description
structure	String	LaTeX or structured representation of the algorithm
text	String	Extracted textual representation of the algorithm
image	Image	Algorithm snapshot (from research papers)
download_url	String	URL of the source document
instance_name	String	Name of the instance (e.g., paper ID)

Usage

This dataset is useful for:

—Algorithm text-image retrieval: Matching textual algorithm descriptions to corresponding images.
—OCR and text recognition: Evaluating OCR models for structured text extraction.
—Machine Learning research: Training deep learning models for image-to-text conversion.