הפניות:
כ
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/ca')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 372665 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
דה
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/de')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 547578 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
es
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/es')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 386699 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
fi
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/fi')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 387465 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
היי
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/hi')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 401648 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
תְעוּדַת זֶהוּת
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/id')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 463862 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
קו
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/ko')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 560105 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
גְבֶרֶת
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/ms')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 528181 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
pl
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/pl')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 623267 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
ru
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/ru')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 551770 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
סר
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/sr')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 559423 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
tl
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/tl')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 160750 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
vi
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/vi')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 351643 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
ar
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/ar')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 339109 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
cs
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/cs')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 564462 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
אל
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/el')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 446052 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
et
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/et')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 87023 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
fr
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/fr')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 418411 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
שעה
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/hr')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 629667 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
זֶה
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/it')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 378325 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
לט
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/lt')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 848018 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
nl
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/nl')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 520664 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
pt
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/pt')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 396773 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
sk
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/sk')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 500135 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
sv
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/sv')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 634881 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
tr
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/tr')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 607324 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
zh
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/zh')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 1570853 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
bg
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/bg')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 559694 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
דה
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/da')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 546440 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
he
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/en')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 423982 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
fa
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/fa')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 492903 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
הוּא
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/he')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 459933 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
hu
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/hu')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 590218 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
כן
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/ja')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 1691018 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
lv
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/lv')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 331568 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
לֹא
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/no')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 552176 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
רו
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/ro')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 285985 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
sl
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/sl')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 521251 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
ה'
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/th')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 217631 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
בְּרִיטַנִיָה
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/uk')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 561373 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
מְשׁוּלָב
השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:
ds = tfds.load('huggingface:polyglot_ner/combined')
- תיאור :
Polyglot-NER
A training dataset automatically generated from Wikipedia and Freebase the task
of named entity recognition. The dataset contains the basic Wikipedia based
training data for 40 languages we have (with coreference resolution) for the task of
named entity recognition. The details of the procedure of generating them is outlined in
Section 3 of the paper (https://arxiv.org/abs/1410.3791). Each config contains the data
corresponding to a different language. For example, "es" includes only spanish examples.
- רישיון : אין רישיון ידוע
- גרסה : 1.0.0
- פיצולים :
| לְפַצֵל | דוגמאות |
|---|---|
'train' | 21070925 |
- תכונות :
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"lang": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"words": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}