Datasets:
Formats:
parquet
Size:
10K - 100K
metadata
dataset_info:
features:
- name: Text
dtype: string
- name: Cluster
dtype: int32
- name: Polarity
dtype: float64
- name: count_word
dtype: int64
splits:
- name: Cluster_1
num_bytes: 11487341
num_examples: 4797
- name: Cluster_2
num_bytes: 8423711
num_examples: 4025
- name: Cluster_3
num_bytes: 16002250
num_examples: 5026
download_size: 18951480
dataset_size: 35913302
configs:
- config_name: default
data_files:
- split: Cluster_1
path: data/Cluster_1-*
- split: Cluster_2
path: data/Cluster_2-*
- split: Cluster_3
path: data/Cluster_3-*
language:
- en
- es
- ru
- zh
- de
- fr
- th
- ca
- it
- ja
- pl
- eo
- eu
- vi
- fi
- hu
- ar
- nl
- da
- tr
- ko
- he
- id
- cs
- bn
- sv
- max count_word cluster_1: 1722
- min count_word cluster_1: 11
- max count_word cluster_2: 2624
- min count_word cluster_2: 21
- max count_word cluster_3: 2370
- min count_word cluster_3: 31
DatasetDict({
Cluster_1: Dataset({
features: ['Text', 'Cluster', 'Polarity', 'count_word'],
num_rows: 4797
})
Cluster_2: Dataset({
features: ['Text', 'Cluster', 'Polarity', 'count_word'],
num_rows: 4025
})
Cluster_3: Dataset({
features: ['Text', 'Cluster', 'Polarity', 'count_word'],
num_rows: 5026
})
})