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---
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
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- config_name: amazon_reviews
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
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- 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
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- config_name: imdb
features:
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dtype: string
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dtype:
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names:
'0': neg
'1': pos
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sequence: float32
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- config_name: multi_nli
features:
- name: label
dtype:
class_label:
names:
'0': entailment
'1': neutral
'2': contradiction
- name: text
dtype: string
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- config_name: tweet_eval
features:
- name: text
dtype: string
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dtype:
class_label:
names:
'0': negative
'1': neutral
'2': positive
splits:
- name: train
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- config_name: yelp_review_full
features:
- name: label
dtype:
class_label:
names:
'0': 1 star
'1': 2 star
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'4': 5 stars
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dtype: string
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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-*
---
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