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prithivMLmods/Img2Text-Algorithm-Retrieval

Img2Text-Algorithm-Retrieval Dataset Dataset Overview The Img2Text-Algorithm-Retrieval dataset is designed for retrieving text descriptions of algorithms from corresponding images. This dataset consists of structured text, raw text, algorithm images, and metadata such as source URLs and filenames. It can be useful 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-Algorithm-Retrieval.

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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1---2license: apache-2.03task_categories:4- image-to-text5- image-feature-extraction6language:7- en8tags:9- algorithm10- data-structures11- pseudo12size_categories:13- n<1K14---15 16# Img2Text-Algorithm-Retrieval Dataset  17 18## Dataset Overview  19The **Img2Text-Algorithm-Retrieval** dataset is designed for retrieving text descriptions of algorithms from corresponding images. This dataset consists of structured text, raw text, algorithm images, and metadata such as source URLs and filenames. It can be useful for tasks like **OCR-based text retrieval, image-to-text learning, and document understanding**.20 21## Dataset Details  22- **Modality**: Image, Text  23- **Format**: Parquet  24- **Size**: ~33.8MB  25- **Total Rows**: 300  26 27## Features  28| Column Name      | Data Type | Description |  29|-----------------|-----------|------------|  30| **structure**    | String    | LaTeX or structured representation of the algorithm |  31| **text**        | String    | Extracted textual representation of the algorithm |  32| **image**       | Image     | Algorithm snapshot (from research papers) |  33| **download_url**| String    | URL of the source document |  34| **instance_name** | String    | Name of the instance (e.g., paper ID) |  35 36## Usage  37This dataset is useful for:  38- **Algorithm text-image retrieval**: Matching textual algorithm descriptions to corresponding images.  39- **OCR and text recognition**: Evaluating OCR models for structured text extraction.  40- **Machine Learning research**: Training deep learning models for image-to-text conversion.