데이터세트

컬렉션을 사용해 정리하기 내 환경설정을 기준으로 콘텐츠를 저장하고 분류하세요.


용법

빠른 소개는 시작 안내서 를 참조하십시오.

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

모든 데이터 세트

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