Datasets

Usage

See our getting-started guide for a quick introduction.

for ex in tfds.load('cifar10', split='train'):
  ...

All Datasets

`Dataset Collections`

clevr

bot_adversarial_dialogue

wake_vision

cardiotox

pneumonia_mnist

segment_anything

bot_adversarial_dialogue

opinion_abstracts

stl10

dices

nyu_depth_v2

e2e_cleaned

wiki_auto

smartwatch_gestures

caltech101

Datasets

Usage

All Datasets

Dataset Collections

3d

Abstractive text summarization

Age

Anomaly detection

Audio

Biology

Categorical

Common sense reasoning

Computer science

Conditional image generation

Coreference resolution

D4rl

Density estimation

Dependency parsing

Dialog act labeling

Dialogue

Document summarization

Facial attributes

Fine grained image classification

Gender

Graph

Graphs

Health

Image

Image classification

Image clustering

Image compression

Image generation

Image segmentation

Image super resolution

Image to image translation

Instance segmentation

Language modeling

Linguistic acceptability

Machine translation

Monolingual

Movies and tv shows

Multilingual

Natural language inference

Natural language understanding

Nearest neighbors

Object detection

Open domain question answering

Out of distribution detection

Question answering

Question generation

Race national ethnic origin

Ranking

Reading comprehension

Recommendation

Reinforcement learning

Rgb d

Rl unplugged

Rlds

Robotics

Scene classification

Semantic segmentation

Sentiment analysis

Sequence modeling

Sequence to sequence language modeling

Speech

Speech recognition

Structured

Summarization

Table to text generation

Tabular

Text

Text classification

Text classification toxicity prediction

Text generation

Text simplification

Text summarization

Time series

Token classification

Tracking

Trajectory

`Dataset Collections`

`3d`

`Abstractive text summarization`

`Age`

`Anomaly detection`

`Audio`

`Biology`

`Categorical`

`Common sense reasoning`

`Computer science`

`Conditional image generation`

`Coreference resolution`

`D4rl`

`Density estimation`

`Dependency parsing`

`Dialog act labeling`

`Dialogue`

`Document summarization`

`Facial attributes`

`Fine grained image classification`

`Gender`

`Graph`

`Graphs`

`Health`

`Image`

`Image classification`

`Image clustering`

`Image compression`

`Image generation`

`Image segmentation`

`Image super resolution`

`Image to image translation`

`Instance segmentation`

`Language modeling`

`Linguistic acceptability`

`Machine translation`

`Monolingual`

`Movies and tv shows`

`Multilingual`

`Natural language inference`

`Natural language understanding`

`Nearest neighbors`

`Object detection`

`Open domain question answering`

`Out of distribution detection`

`Question answering`

`Question generation`

`Race national ethnic origin`

`Ranking`

`Reading comprehension`

`Recommendation`

`Reinforcement learning`

`Rgb d`

`Rl unplugged`

`Rlds`

`Robotics`

`Scene classification`

`Semantic segmentation`

`Sentiment analysis`

`Sequence modeling`

`Sequence to sequence language modeling`

`Speech`

`Speech recognition`

`Structured`

`Summarization`

`Table to text generation`

`Tabular`

`Text`

`Text classification`

`Text classification toxicity prediction`

`Text generation`

`Text simplification`

`Text summarization`

`Time series`

`Token classification`

`Tracking`

`Trajectory`

`Translate`

`Uncategorized`

`Unsupervised anomaly detection`