---
license: mit
---

# ImageNet-1k Individual Class Datasets Hub

This dataset serves as a central hub and index for the **1,000 individual class datasets** derived from the original `imagenet-1k` dataset. Each class has been separated into its own repository for easy access and analysis.

This repository does not contain any images itself. Instead, it provides a `class_mapping.csv` file that maps each class ID and name to its corresponding dataset repository on the Hugging Face Hub.

## How to Use

The intended workflow is to use this repository to find the `repo_id` for a class you are interested in, and then load that specific dataset.

### 1. Load the Class Mapping File

First, load the `class_mapping.csv` file from this repository. You can do this directly using `pandas`.

```python
import pandas as pd
from datasets import load_dataset

# Load the mapping file from the Hub
mapping_csv_url = "[https://huggingface.co/datasets/](https://huggingface.co/datasets/)mlnomad/imagenet1k_classes/resolve/main/class_mapping.csv"
class_df = pd.read_csv(mapping_csv_url)

print("Class mapping loaded. Here's a preview:")
print(class_df.head())
```

### 2. Find and Load a Specific Class Dataset

Once you have the `class_df` DataFrame, you can easily find the repository for any class and load it using `datasets.load_dataset`.

#### Example: Loading the 'goldfish' class

```python
# Find the entry for 'goldfish'
# The class names can be long, so we use .str.contains() for a flexible search
goldfish_entry = class_df[class_df['class_name'].str.contains("goldfish", case=False)]

if not goldfish_entry.empty:
    # Get the repo_id from the DataFrame
    goldfish_repo_id = goldfish_entry.iloc[0]['repo_id']
    
    print(f"Found 'goldfish' dataset at: {goldfish_repo_id}")
    
    # Load the actual dataset containing the images
    print("Loading dataset...")
    goldfish_dataset = load_dataset(goldfish_repo_id)
    
    print("\nSuccessfully loaded!")
    print(goldfish_dataset)
    
    # You can now access the images
    # example_image = goldfish_dataset['train'][0]['image']
    # example_image.show()
else:
    print("Could not find the 'goldfish' class.")

```

## Class Mapping Preview (`class_mapping.csv`)

Here are the first 10 entries in the mapping file:

```
|   class_id | class_name                                                                          | repo_id                                                                                         |
|-----------:|:------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------|
|          0 | tench, Tinca tinca                                                                  | mlnomad/imnet1k_tench_Tinca_tinca                                                               |
|          1 | goldfish, Carassius auratus                                                         | mlnomad/imnet1k_goldfish_Carassius_auratus                                                      |
|          2 | great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias | mlnomad/imnet1k_great_white_shark_white_shark_man-eater_man-eating_shark_Carcharodon_carcharias |
|          3 | tiger shark, Galeocerdo cuvieri                                                     | mlnomad/imnet1k_tiger_shark_Galeocerdo_cuvieri                                                  |
|          4 | hammerhead, hammerhead shark                                                        | mlnomad/imnet1k_hammerhead_hammerhead_shark                                                     |
|          5 | electric ray, crampfish, numbfish, torpedo                                          | mlnomad/imnet1k_electric_ray_crampfish_numbfish_torpedo                                         |
|          6 | stingray                                                                            | mlnomad/imnet1k_stingray                                                                        |
|          7 | cock                                                                                | mlnomad/imnet1k_cock                                                                            |
|          8 | hen                                                                                 | mlnomad/imnet1k_hen                                                                             |
|          9 | ostrich, Struthio camelus                                                           | mlnomad/imnet1k_ostrich_Struthio_camelus                                                        |
```