dataset_info: | |
- config_name: ag_news | |
features: | |
- name: text | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
'0': World | |
'1': Sports | |
'2': Business | |
'3': Sci/Tech | |
splits: | |
- name: train | |
num_bytes: 31696777 | |
num_examples: 127600 | |
download_size: 19819525 | |
dataset_size: 31696777 | |
- config_name: amazon_reviews | |
features: | |
- name: text | |
dtype: string | |
- name: label | |
dtype: int64 | |
splits: | |
- name: train | |
num_bytes: 40184865 | |
num_examples: 210000 | |
download_size: 25004999 | |
dataset_size: 40184865 | |
- config_name: emotion | |
features: | |
- name: text | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
'0': sadness | |
'1': joy | |
'2': love | |
'3': anger | |
'4': fear | |
'5': surprise | |
- name: vector | |
sequence: float32 | |
splits: | |
- name: train | |
num_bytes: 26253401 | |
num_examples: 20000 | |
download_size: 37776037 | |
dataset_size: 26253401 | |
- config_name: imdb | |
features: | |
- name: text | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
'0': neg | |
'1': pos | |
- name: vector | |
sequence: float32 | |
splits: | |
- name: train | |
num_bytes: 126283508 | |
num_examples: 50000 | |
download_size: 132615883 | |
dataset_size: 126283508 | |
- config_name: multi_nli | |
features: | |
- name: label | |
dtype: | |
class_label: | |
names: | |
'0': entailment | |
'1': neutral | |
'2': contradiction | |
- name: text | |
dtype: string | |
- name: glove | |
sequence: float64 | |
- name: word2vec | |
sequence: float64 | |
- name: fasttext | |
sequence: float64 | |
splits: | |
- name: train | |
num_bytes: 2389531917 | |
num_examples: 412349 | |
download_size: 2243248541 | |
dataset_size: 2389531917 | |
- config_name: tweet_eval | |
features: | |
- name: text | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
'0': negative | |
'1': neutral | |
'2': positive | |
splits: | |
- name: train | |
num_bytes: 6943746 | |
num_examples: 59899 | |
download_size: 4846655 | |
dataset_size: 6943746 | |
- config_name: yelp_review_full | |
features: | |
- name: label | |
dtype: | |
class_label: | |
names: | |
'0': 1 star | |
'1': 2 star | |
'2': 3 stars | |
'3': 4 stars | |
'4': 5 stars | |
- name: text | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 521082742 | |
num_examples: 700000 | |
download_size: 322949227 | |
dataset_size: 521082742 | |
configs: | |
- config_name: ag_news | |
data_files: | |
- split: train | |
path: ag_news/train-* | |
- config_name: amazon_reviews | |
data_files: | |
- split: train | |
path: amazon_reviews/train-* | |
- config_name: emotion | |
data_files: | |
- split: train | |
path: emotion/train-* | |
- config_name: imdb | |
data_files: | |
- split: train | |
path: imdb/train-* | |
- config_name: multi_nli | |
data_files: | |
- split: train | |
path: multi_nli/train-* | |
- config_name: tweet_eval | |
data_files: | |
- split: train | |
path: tweet_eval/train-* | |
- config_name: yelp_review_full | |
data_files: | |
- split: train | |
path: yelp_review_full/train-* | |