Extract Dataset Card — Research AI

Researchers analyze thousands of documents for insights. Manual analysis is time-consuming and may miss connections.

44
Fields Extracted
300s
Max Processing
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What This Template Does

AI-powered extraction using gemini-2.5-flash. Part of 113 production-ready templates.

Capabilities

  • Data Extraction
  • Summarization
  • Document Processing
  • Datasets
  • Machine Learning

Output Schema

{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "Dataset Card Output Schema",
  "description": "Schema for dataset documentation card output",
  "type": "object",
  "properties": {
    "dataset_name": {
      "type": "string",
      "description": "Name of the dataset"
    },
    "version": {
      "type": "string",
      "description": "Dataset version identifier"
    },
    "authors": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "descri
...

Quick Start

$ pip install doclayer
$ doclayer process document.pdf --agent research.dataset-card

See It In Action

Real extraction example showing input document and structured output.

Input Document
DATASET: ImageNet-1K Classification Dataset. MOTIVATION: Large-scale image classification benchmark for computer vision research. COMPOSITION: 1,000 classes, 1.2M training images, 50K validation images, 100K test images. SOURCE: Web-crawled images from Flickr and Google Images. LICENSE: Creative Commons Attribution 4.0. USAGE: Image classification, transfer learning, model evaluation. BIAS CONSIDERATIONS: Geographic bias toward Western countries, gender bias in person images.
Extracted Data
{
  "dataset_name": "ImageNet-1K Classification Dataset",
  "motivation": "Large-scale image classification benchmark for computer vision research",
  "composition": {
    "classes": 1000,
    "training_images": "1.2M",
    "validation_images": "50K",
    "test_images": "100K"
  },
  "source": "Web-crawled images from Flickr and Google Images",
  "license": "Creative Commons Attribution 4.0",
  "usage": [
    "Image classification",
    "transfer learning",
    "model evaluation"
  ],
  "bias_considerations": [
    "Geographic bias toward Western countries",
    "gender bias in person images"
  ],
  "document_type": "dataset_card"
}

Example illustrating extraction of dataset metadata including description, size, licensing, collection methodology, and feature documentation. Produces standardized dataset card with source attribution and usage guidelines.

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Frequently Asked Questions

What documents can Dataset Card process?

The Dataset Card template processes research documents including various formats and layouts. See the instructions for specific document types supported.

How accurate is the Dataset Card extraction?

The Dataset Card template uses Gemini 2.5 Flash for high-accuracy extraction. Results include confidence scores for each field.

Can I customize the Dataset Card template?

Yes, you can modify the extraction schema, add custom fields, or adjust the instructions to match your specific requirements.

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