Datasets:
language: | |
- en | |
license: apache-2.0 | |
size_categories: | |
- 10K<n<100K | |
task_categories: | |
- conversational | |
- text-generation | |
- summarization | |
- question-answering | |
- text-classification | |
- text-retrieval | |
- translation | |
pretty_name: No Robots | |
configs: | |
- config_name: default | |
data_files: | |
- split: train | |
path: data/train-* | |
- split: test | |
path: data/test-* | |
dataset_info: | |
features: | |
- name: title | |
dtype: string | |
- name: content | |
dtype: string | |
- name: author | |
dtype: string | |
- name: category | |
dtype: string | |
- name: published_date | |
dtype: string | |
- name: page_url | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 81377758 | |
num_examples: 30374 | |
- name: test | |
num_bytes: 12272769 | |
num_examples: 9489 | |
download_size: 34636120 | |
dataset_size: 93650527 | |
tags: | |
- ghana | |
- news | |
- politics | |
- science | |
- business | |
- ghana-news | |
### Description π ββοΈπ€ | |
GhanaNews dataset is a collection of news articles from various Ghanaian News Portals (MyJoyOnline, GraphicOnline, GhanaWeb, PulseGh, CitiNewsOnline, ect). The dataset is provided by the academic comunity for research purposes in data mining (clustering, classification, etc), information retrieval (ranking, search, etc), xml, data compression, data streaming, and any other non-commercial activity. | |
The Ghana news topic classification dataset is constructed by Theophilus Siameh ([email protected]) from the dataset above. | |
### Context QA: in context question answering from an article | |
```shell | |
{"article": "...", "question": "...", "answer": "..."} | |
``` | |
### Article and Summary | |
```shell | |
{"article": "...", "summary": "..."} | |
``` | |
### Dataset Format | |
```shell | |
{ | |
"title": "...", | |
"content": "...", | |
"author": "...", | |
"category": "...", | |
"published_date": "...", | |
"page_url": "..." | |
} | |
``` | |
### Load Dataset | |
```shell | |
pip install datasets | |
``` | |
```python | |
from datasets import load_dataset | |
train = load_dataset("worldboss/ghana-news", split="train") | |
test = load_dataset("worldboss/ghana-news", split="test") | |
pd.DataFrame(train).head() | |
``` |