dataset_info:
features:
- name: Tokens
sequence: string
- name: Tags
sequence: int64
- name: Tags_string
sequence: string
- name: Original_source
dtype: string
splits:
- name: train
num_bytes: 276428315
num_examples: 471343
- name: test
num_bytes: 6419858
num_examples: 11136
- name: validation
num_bytes: 6345480
num_examples: 11456
download_size: 54821843
dataset_size: 289193653
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
task_categories:
- token-classification
language:
- es
size_categories:
- 100K<n<1M
license: apache-2.0
Dataset Card for es-ner-massive
Dataset Details
Dataset Description
The es-ner-massive dataset is a combination of three datasets: tner/wikineural, conll2002, and polyglot_ner. It is designed for Named Entity Recognition (NER) tasks. Tags are curated to be span-based and encoded according to the following convention:
encodings_dictionary = {
"O": 0,
"PER": 1,
'ORG': 2,
"LOC": 3,
"MISC": 4
}
Dataset Details
Dataset Description
The dataset was desing with the idea of combining middle size NER datasets in Spanish in order to perfom basic NER or to make Transfer Learning Operations with a solid knowledge base on the pretrained model.
- Curated by:
- Language(s) (NLP): [Spanish]
- License: [More Information Needed]
Dataset Sources [optional]
Here the original sources:
Uses
The intended use is to perform fine-tune of your pretrainned model into NER task.
Dataset Structure
[More Information Needed]
Dataset Creation
Curation Rationale
refer to the original datasets of the compilation
[More Information Needed]
Source Data
Data Collection and Processing
refer to the original datasets of the compilation
Who are the source data producers?
refer to the original datasets of the compilation
Annotations [optional]
All the original NER tags that were in a BIO schema were passed to Span Schema
Annotation process
refer to the original datasets of the compilation
Who are the annotators?
refer to the original datasets of the compilation polyglot_ner
Personal and Sensitive Information
refer to the original datasets of the compilation polyglot_ner
Bias, Risks, and Limitations
refer to the original datasets of the compilation
Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
refer to the original datasets of the compilation
Dataset Card Contact
You can email the author of this compilation at [email protected]