README.md

---
configs:
  - config_name: dtd
    data_files:
      - split: train
        path: dtd/train-*.parquet
      - split: test
        path: dtd/test-*.parquet
  - config_name: sun397
    data_files:
      - split: train
        path: sun397/train-*.parquet
      - split: test
        path: sun397/test-*.parquet
  - config_name: cifar10
    data_files:
      - split: train
        path: cifar10/train-*.parquet
      - split: test
        path: cifar10/test-*.parquet
  - config_name: svhn
    data_files:
      - split: train
        path: svhn/train-*.parquet
      - split: test
        path: svhn/test-*.parquet
  - config_name: smallnorb_label_azimuth
    data_files:
      - split: train
        path: smallnorb_label_azimuth/train-*.parquet
      - split: test
        path: smallnorb_label_azimuth/test-*.parquet
  - config_name: pets
    data_files:
      - split: train
        path: pets/train-*.parquet
      - split: test
        path: pets/test-*.parquet
  - config_name: eurosat
    data_files:
      - split: train
        path: eurosat/train-*.parquet
      - split: test
        path: eurosat/test-*.parquet
  - config_name: dsprites_label_y_position
    data_files:
      - split: train
        path: dsprites_label_y_position/train-*.parquet
      - split: test
        path: dsprites_label_y_position/test-*.parquet
  - config_name: dsprites_label_orientation
    data_files:
      - split: train
        path: dsprites_label_orientation/train-*.parquet
      - split: test
        path: dsprites_label_orientation/test-*.parquet
  - config_name: clevr_count_all
    data_files:
      - split: train
        path: clevr_count_all/train-*.parquet
      - split: test
        path: clevr_count_all/test-*.parquet
  - config_name: cifar100
    data_files:
      - split: train
        path: cifar100/train-*.parquet
      - split: test
        path: cifar100/test-*.parquet
  - config_name: caltech101
    data_files:
      - split: train
        path: caltech101/train-*.parquet
      - split: test
        path: caltech101/test-*.parquet
  - config_name: clevr_closest_object_distance
    data_files:
      - split: train
        path: clevr_closest_object_distance/train-*.parquet
      - split: test
        path: clevr_closest_object_distance/test-*.parquet
  - config_name: dmlab
    data_files:
      - split: train
        path: dmlab/train-*.parquet
      - split: test
        path: dmlab/test-*.parquet
  - config_name: dsprites_label_x_position
    data_files:
      - split: train
        path: dsprites_label_x_position/train-*.parquet
      - split: test
        path: dsprites_label_x_position/test-*.parquet
  - config_name: pcam
    data_files:
      - split: train
        path: pcam/train-*.parquet
      - split: test
        path: pcam/test-*.parquet
  - config_name: resisc45
    data_files:
      - split: train
        path: resisc45/train-*.parquet
      - split: test
        path: resisc45/test-*.parquet
  - config_name: smallnorb_label_elevation
    data_files:
      - split: train
        path: smallnorb_label_elevation/train-*.parquet
      - split: test
        path: smallnorb_label_elevation/test-*.parquet
  - config_name: diabetic_retinopathy
    data_files:
      - split: train
        path: diabetic_retinopathy/train-*.parquet
      - split: test
        path: diabetic_retinopathy/test-*.parquet
  - config_name: flowers
    data_files:
      - split: train
        path: flowers/train-*.parquet
      - split: test
        path: flowers/test-*.parquet
  - config_name: kitti_distance
    data_files:
      - split: train
        path: kitti_distance/train-*.parquet
      - split: test
        path: kitti_distance/test-*.parquet
---

# Mini-VTAB

A collection of VTAB (Visual Task Adaptation Benchmark) datasets. We sampled 1K training samples and 1K testing samples for each task.

## Tasks
```python
datasets = [
    "caltech101",
    "cifar10",
    "cifar100",
    "dtd",
    "flowers",
    "pets",
    "sun397",
    "svhn",

    "pcam",
    "eurosat",
    "resisc45",
    "diabetic_retinopathy",

    "clevr_count_all",
    "clevr_closest_object_distance",
    "dmlab",
    "dsprites_label_x_position",
    "dsprites_label_y_position",
    "dsprites_label_orientation",
    "kitti_distance",
    "smallnorb_label_azimuth",
    "smallnorb_label_elevation",
]
```

## Usage
```python
from datasets import load_dataset

# Load a specific task
ds = load_dataset("antofuller/mini-vtab", "cifar10")

# Access splits
train_ds = ds["train"]
test_ds = ds["test"]

# Or load a specific split directly
train_ds = load_dataset("antofuller/mini-VTAB", "cifar10", split="train")
```