metadata
annotations_creators:
- no-annotation
language_creators:
- found
languages:
- id
licenses:
- unknown
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- summarization
paperswithcode_id: null
Dataset Card for ID-Collection
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
This module load text dataset from local directory. The text dataset should have the format like Oscar dataset where each new entry is separated by empty lines.
You need to manually collect text datasets in a directory. The text dataset can then be loaded
using the following command:
datasets.load_dataset("./text_collection", data_dir="<path/to/dataset>").
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Indonesian
Dataset Structure
{
'id': 'int64',
'text': 'string',
}
Data Instances
An example of the dataset:
{
'id': '1',
'text': 'sultan agung dan dokternya bilang supaya adeknya diberi kacamata khusus'
}
Data Fields
id: id of the sampletext: content of the article
Data Splits
The dataset contains only train set.
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information