Referencias:
si
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/af')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2299 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
un
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/an')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 97 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Arkansas
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ar')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2794 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Arizona
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/az')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1979 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ser
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/be')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1526 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
bg
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/bg')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2847 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
mil millones
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/bn')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2393 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
hermano
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/br')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 184 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
bs
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/bs')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2020 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
California
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ca')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 3204 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
cs
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/cs')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2599 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
cy
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/cy')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1647 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
da
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/da')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 3340 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Delaware
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/de')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 3974 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
el
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/el')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2703 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
eo
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/eo')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2604 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
es
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/es')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 4275 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
et
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/et')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2105 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
UE
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/eu')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1979 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
fa
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/fa')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2477 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
fi
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/fi')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 3295 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
para
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/fo')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 123 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
es
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/fr')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 4653 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
fy
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/fy')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 224 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Georgia
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ga')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1073 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Dios
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/gd')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 345 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
gl
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/gl')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2714 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Gu
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/gu')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2145 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
él
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/he')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2533 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
hola
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/hi')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 3640 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
hora
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/hr')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2208 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
hora
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ht')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 472 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
hu
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/hu')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 3522 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
hola
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/hy')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1657 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
I a
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ia')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 326 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
identificación
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/id')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2900 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
yo
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/io')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 183 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
es
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/is')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1770 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
eso
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/it')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 4491 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
sí
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ja')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1017 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ka
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ka')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2202 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
kilómetros
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/km')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 956 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
kn
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/kn')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2173 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ko
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ko')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2118 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ku
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ku')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 145 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Kentucky
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ky')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 246 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
la
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/la')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2033 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
libras
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/lb')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 224 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
es
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/lt')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2190 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
lv
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/lv')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1938 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
mk
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/mk')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2965 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Sres
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/mr')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1825 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
milisegundo
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ms')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2934 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
monte
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/mt')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 863 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
nl
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/nl')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 3976 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
nn
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/nn')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1894 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
no
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/no')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 3089 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
pl
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/pl')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 3533 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
punto
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/pt')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 3953 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
rm
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/rm')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 116 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Ro
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ro')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 3329 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
tu
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ru')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2914 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
sk
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/sk')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2428 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
SL
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/sl')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2244 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
cuadrados
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/sq')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2076 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
señor
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/sr')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2034 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
sv
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/sv')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 3722 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
sudoeste
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/sw')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1314 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
ejército de reserva
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ta')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2057 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
te
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/te')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2523 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
el
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/th')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1279 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
conocimientos tradicionales
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/tk')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 78 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
tl
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/tl')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1858 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
tr
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/tr')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2500 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Reino Unido
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/uk')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2827 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
tu
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/ur')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1347 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
uz
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/uz')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 111 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
vi
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/vi')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1016 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
vo
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/vo')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 43 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Washington
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/wa')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 193 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
yo
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/yi')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 395 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
Z h
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/zh')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 1879 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
zhw
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:senti_lex/zhw')
- Descripción :
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.
- Licencia : Licencia Pública General GNU v3
- Versión : 1.1.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 3828 |
- Características :
{
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentiment": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}