References:
af
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/af')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2299 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
an
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/an')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
97 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ar
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ar')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2794 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
az
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/az')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1979 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
be
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/be')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1526 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
bg
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/bg')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2847 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
bn
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/bn')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2393 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
br
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/br')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
184 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
bs
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/bs')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2020 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ca
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ca')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
3204 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
cs
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/cs')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2599 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
cy
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/cy')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1647 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
da
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/da')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
3340 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
de
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/de')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
3974 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
el
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/el')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2703 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
eo
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/eo')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2604 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
es
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/es')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
4275 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
et
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/et')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2105 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
eu
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/eu')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1979 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
fa
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/fa')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2477 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
fi
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/fi')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
3295 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
fo
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/fo')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
123 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
fr
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/fr')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
4653 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
fy
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/fy')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
224 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ga
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ga')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1073 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
gd
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/gd')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
345 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
gl
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/gl')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2714 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
gu
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/gu')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2145 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
he
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/he')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2533 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
hi
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/hi')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
3640 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
hr
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/hr')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2208 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ht
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ht')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
472 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
hu
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/hu')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
3522 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
hy
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/hy')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1657 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ia
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ia')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
326 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
id
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/id')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2900 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
io
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/io')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
183 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
is
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/is')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1770 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
it
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/it')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
4491 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ja
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ja')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1017 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ka
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ka')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2202 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
km
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/km')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
956 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
kn
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/kn')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2173 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ko
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ko')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2118 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ku
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ku')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
145 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ky
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ky')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
246 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
la
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/la')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2033 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
lb
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/lb')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
224 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
lt
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/lt')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2190 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
lv
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/lv')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1938 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
mk
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/mk')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2965 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
mr
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/mr')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1825 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ms
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ms')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2934 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
mt
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/mt')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
863 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
nl
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/nl')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
3976 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
nn
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/nn')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1894 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
no
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/no')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
3089 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
pl
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/pl')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
3533 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
pt
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/pt')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
3953 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
rm
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/rm')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
116 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ro
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ro')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
3329 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ru
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ru')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2914 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
sk
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/sk')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2428 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
sl
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/sl')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2244 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
sq
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/sq')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2076 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
sr
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/sr')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2034 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
sv
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/sv')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
3722 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
sw
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/sw')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1314 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ta
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ta')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2057 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
te
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/te')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2523 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
th
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/th')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1279 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
tk
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/tk')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
78 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
tl
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/tl')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1858 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
tr
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/tr')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2500 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
uk
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/uk')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
2827 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ur
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/ur')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1347 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
uz
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/uz')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
111 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
vi
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/vi')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1016 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
vo
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/vo')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
43 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
wa
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/wa')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
193 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
yi
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/yi')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
395 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
zh
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/zh')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
1879 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
zhw
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:senti_lex/zhw')
- Description:
This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them.
- License: GNU General Public License v3
- Version: 1.1.0
- Splits:
Split | Examples |
---|---|
'train' |
3828 |
- Features:
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}