README.md

---
dataset_info:
- config_name: agricultural_procedural_reasoning
  features:
  - name: id
    dtype: string
  - name: question
    dtype: string
  - name: options
    struct:
    - name: default
      sequence: string
    - name: diff_1
      sequence: string
    - name: diff_2
      sequence: string
    - name: diff_3
      sequence: string
    - name: diff_4
      sequence: string
    - name: diff_5
      sequence: string
  - name: answer
    dtype: string
  - name: accepted_answers
    sequence: string
  - name: category
    dtype: string
  - name: task_type
    dtype: string
  - name: question_type
    sequence: string
  - name: metadata
    dtype: string
  splits:
  - name: wikihow_arrange
    num_bytes: 658484
    num_examples: 557
  - name: wikihow_missing
    num_bytes: 604774
    num_examples: 526
  - name: wikihow_next
    num_bytes: 602898
    num_examples: 538
  - name: wikihow_all
    num_bytes: 669007
    num_examples: 520
  download_size: 1052251
  dataset_size: 2535163
- config_name: agricultural_scientific_knowledge
  features:
  - name: id
    dtype: string
  - name: question
    dtype: string
  - name: options
    struct:
    - name: default
      sequence: string
    - name: diff_1
      dtype: 'null'
    - name: diff_2
      dtype: 'null'
    - name: diff_3
      dtype: 'null'
    - name: diff_4
      dtype: 'null'
    - name: diff_5
      dtype: 'null'
  - name: answer
    dtype: string
  - name: accepted_answers
    sequence: string
  - name: category
    dtype: string
  - name: task_type
    dtype: string
  - name: question_type
    sequence: string
  - name: metadata
    dtype: string
  splits:
  - name: agriexam
    num_bytes: 1816672
    num_examples: 4548
  - name: cca_ceu
    num_bytes: 345105
    num_examples: 689
  - name: embrapa
    num_bytes: 32339083
    num_examples: 19682
  download_size: 14476971
  dataset_size: 34500860
- config_name: agronomic_visual_cognition
  features:
  - name: id
    dtype: string
  - name: question
    dtype: string
  - name: images
    sequence: image
  - name: options
    struct:
    - name: default
      sequence: string
    - name: diff_1
      sequence: string
    - name: diff_2
      sequence: string
    - name: diff_3
      sequence: string
    - name: diff_4
      sequence: string
    - name: diff_5
      sequence: string
  - name: answer
    dtype: string
  - name: accepted_answers
    sequence: string
  - name: category
    dtype: string
  - name: task_type
    dtype: string
  - name: question_type
    sequence: string
  - name: metadata
    dtype: string
  splits:
  - name: eppo
    num_bytes: 938281149.36
    num_examples: 26428
  - name: plantnet
    num_bytes: 2848270999.5
    num_examples: 20350
  - name: bppq
    num_bytes: 14213980
    num_examples: 368
  download_size: 3720715335
  dataset_size: 3800766128.86
configs:
- config_name: agricultural_procedural_reasoning
  data_files:
  - split: wikihow_arrange
    path: agricultural_procedural_reasoning/wikihow_arrange-*
  - split: wikihow_missing
    path: agricultural_procedural_reasoning/wikihow_missing-*
  - split: wikihow_next
    path: agricultural_procedural_reasoning/wikihow_next-*
  - split: wikihow_all
    path: agricultural_procedural_reasoning/wikihow_all-*
- config_name: agricultural_scientific_knowledge
  data_files:
  - split: agriexam
    path: agricultural_scientific_knowledge/agriexam-*
  - split: cca_ceu
    path: agricultural_scientific_knowledge/cca_ceu-*
  - split: embrapa
    path: agricultural_scientific_knowledge/embrapa-*
- config_name: agronomic_visual_cognition
  default: true
  data_files:
  - split: eppo
    path: agronomic_visual_cognition/eppo-*
  - split: plantnet
    path: agronomic_visual_cognition/plantnet-*
  - split: bppq
    path: agronomic_visual_cognition/bppq-*
license: cc-by-nc-nd-4.0
task_categories:
- visual-question-answering
- question-answering
- zero-shot-image-classification
- multiple-choice
language:
- en
pretty_name: CABBAGE
tags:
- biology
- agriculture
---


# 🥬 CABBAGE: Comprehensive Agricultural Benchmark Backed by AI-Guided Evaluation

[**🌐 Homepage**](https://huggingface.co/datasets/boilnserve/cabbage) | [**🏆 Leaderboard**](https://huggingface.co/datasets/boilnserve/cabbage) | [**🤗 Dataset**](https://huggingface.co/datasets/boilnserve/cabbage) | [**💻 GitHub**](https://github.com/boilnserve/cabbage)

## Table of Contents
- [CABBAGE: Comprehensive Agricultural Benchmark Backed by AI-Guided Evaluation](#%F0%9F%A5%AC-cabbage-comprehensive-agricultural-benchmark-backed-by-ai-guided-evaluation)
  - [Table of Contents](#table-of-contents)
  - [Dataset Description](#dataset-description)
    - [Dataset Summary](#dataset-summary)
    - [Supported Tasks and Leaderboards](#benchmark-tracks-and-subsets)
      - [🖼️ Agronomic Visual Cognition](#%F0%9F%96%BC%EF%B8%8F-agronomic-visual-cognition)
      - [📚 Agricultural Scientific Knowledge](#%F0%9F%93%9A-agricultural-scientific-knowledge)
      - [🛠️ Agricultural Procedural Reasoning](#%F0%9F%9B%A0%EF%B8%8F-agricultural-procedural-reasoning)
    - [Loading the Dataset](#loading-the-dataset)

## Dataset Description

- **Homepage:** https://huggingface.co/datasets/boilnserve/cabbage
- **Repository:** https://github.com/boilnserve/cabbage
- **Paper:** Not yet published
- **Leaderboard:** https://huggingface.co/datasets/boilnserve/cabbage
- **Size of downloaded dataset files:** 3.74 GB
- **Size of the auto-converted Parquet files:** 240.84 MB
- **Number of rows:** 74,206

**CABBAGE** is a large-scale, multimodal benchmark for evaluating AI systems in agriculture across three complementary task macro-categories: **Visual Cognition**, **Scientific Knowledge**, and **Procedural Reasoning**. Each macro-category contains high-quality, domain-specific subsets built from curated or expert-reviewed sources.  

## Benchmark Tracks and Subsets

<img src="https://cdn-uploads.huggingface.co/production/uploads/6824cf491019386a26b831c1/PYEaWom37vSKPDfKqt7fo.png" width="600"/>

### 🖼️ Agronomic Visual Cognition
Evaluates image-based plant understanding and visual QA.

- **`eppo`**: Plant pest and disease image classification (from EPPO data)
- **`plantnet`**: Species-level classification using Pl@ntNet imagery
- **`bppq`**: The Big Plant Pathology Quiz — visual QA for pathology

### 📚 Agricultural Scientific Knowledge
Tests scientific factual knowledge, retrieval, and reasoning over structured agronomic data.

- **`agriexam`**: Multiple-choice exams from official agricultural education materials
- **`cca_ceu`**:  Multiple-choice questions from the Certified Crop Adviser datasets and Continuing Education Unit materials
- **`embrapa`**: Questions derived from Brazilian Agricultural Research Corporation technical guide series

### 🛠️ Agricultural Procedural Reasoning
Challenges models on procedural tasks derived from domain-relevant manuals and wikiHow entries.

- **`wikihow_arrange`**: Arrange steps of an agricultural procedure in the correct order
- **`wikihow_missing`**: Identify missing steps in an agricultural workflow
- **`wikihow_next`**: Predict the next step in a given task
- **`wikihow_all`**: Generate the full sequence of steps required to carry out an agricultural task

## Loading the Dataset

You can load any specific configuration and split using the Hugging Face `datasets` library:

```python
from datasets import load_dataset

# Example: Load all the splits from the Agronomic Visual Cognition subset
dataset_dict = load_dataset("deepplants/cabbage", name="agronomic_visual_cognition")

# Example: Load the Embrapa split from the Agricultural Scientific Knowledge subset
dataset = load_dataset("deepplants/cabbage", name="agricultural_scientific_knowledge", split="embrapa")
```