Datasets

Usage

See our getting-started guide for a quick introduction.

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

All Datasets

`Dataset Collections`

`3d`

`Abstractive text summarization`

`Anomaly detection`

`Audio`

`Biology`

ogbg_molpcba

`Categorical`

sift1m

`Common sense reasoning`

`Conditional image generation`

imagenet2012

`Coreference resolution`

clevr

`D4rl`

`Density estimation`

`Dependency parsing`

`Document summarization`

`Fine grained image classification`

`Graph`

`Graphs`

cardiotox

`Image`

`Image classification`

`Image clustering`

`Image compression`

`Image generation`

`Image super resolution`

`Image to image translation`

`Image classification`

`Instance segmentation`

`Language modelling`

`Machine translation`

`Monolingual`

`Movies and tv shows`

opinion_abstracts

`Multilingual`

`Natural language inference`

`Natural language understanding`

`Nearest neighbors`

`Object detection`

`Open domain question answering`

`Out of distribution detection`

stl10

`Question answering`

`Question generation`

natural_questions

`Question answering`

`Ranking`

`Reading comprehension`

`Recommendation`

`Reinforcement learning`

robomimic_ph

`Rgb d`

nyu_depth_v2

`Rl unplugged`

`Rlds`

`Robotics`

mt_opt

`Scene classification`

`Semantic segmentation`

`Sentiment analysis`

`Sequence to sequence language modelling`

`Speech`

`Speech recognition`

`Structured`

`Summarization`

`Table to text generation`

e2e_cleaned

`Tabular`

`Text`

`Text classification`

`Text generation`

`Text summarization`

`Text simplification`

wiki_auto

`Time series`

smartwatch_gestures

`Token classification`

`Tracking`

smartwatch_gestures

`Trajectory`

robomimic_ph

`Translate`

`Uncategorized`

duke_ultrasound

`Unsupervised anomaly detection`

caltech101

Datasets

Usage

All Datasets

Dataset Collections

3d

Abstractive text summarization

Anomaly detection

Audio

Biology

Categorical

Common sense reasoning

Conditional image generation

Coreference resolution

D4rl

Density estimation

Dependency parsing

Document summarization

Fine grained image classification

Graph

Graphs

Image

Image classification

Image clustering

Image compression

Image generation

Image super resolution

Image to image translation

Image classification

Instance segmentation

Language modelling

Machine translation

Monolingual

Movies and tv shows

Multilingual

Natural language inference

Natural language understanding

Nearest neighbors

Object detection

Object detection

Open domain question answering

Out of distribution detection

Question answering

Question generation

Question answering

Ranking

Reading comprehension

Recommendation

Reinforcement learning

Rgb d

Rl unplugged

Rlds

Robotics

Scene classification

Semantic segmentation

Sentiment analysis

Sequence to sequence language modelling

Speech

Speech recognition

Structured

Summarization

Table to text generation

Tabular

Text

Text classification

Text generation

Text summarization

Text simplification

Time series

Token classification

Tracking

Trajectory

Translate

Uncategorized

Unsupervised anomaly detection

Video

Vision language

`Dataset Collections`

`3d`

`Abstractive text summarization`

`Anomaly detection`

`Audio`

`Biology`

`Categorical`

`Common sense reasoning`

`Conditional image generation`

`Coreference resolution`

`D4rl`

`Density estimation`

`Dependency parsing`

`Document summarization`

`Fine grained image classification`

`Graph`

`Graphs`

`Image`

`Image classification`

`Image clustering`

`Image compression`

`Image generation`

`Image super resolution`

`Image to image translation`

`Image classification`

`Instance segmentation`

`Language modelling`

`Machine translation`

`Monolingual`

`Movies and tv shows`

`Multilingual`

`Natural language inference`

`Natural language understanding`

`Nearest neighbors`

`Object detection`

`Object detection`

`Open domain question answering`

`Out of distribution detection`

`Question answering`

`Question generation`

`Question answering`

`Ranking`

`Reading comprehension`

`Recommendation`

`Reinforcement learning`

`Rgb d`

`Rl unplugged`

`Rlds`

`Robotics`

`Scene classification`

`Semantic segmentation`

`Sentiment analysis`

`Sequence to sequence language modelling`

`Speech`

`Speech recognition`

`Structured`

`Summarization`

`Table to text generation`

`Tabular`

`Text`

`Text classification`

`Text generation`

`Text summarization`

`Text simplification`

`Time series`

`Token classification`

`Tracking`

`Trajectory`

`Translate`

`Uncategorized`

`Unsupervised anomaly detection`

`Video`

`Vision language`