Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
multi-class-classification
Languages:
Arabic
Size:
100K - 1M
License:
annotations_creators: | |
- found | |
language_creators: | |
- found | |
language: | |
- ar | |
license: | |
- unknown | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 100K<n<1M | |
source_datasets: | |
- original | |
task_categories: | |
- text-classification | |
task_ids: | |
- multi-class-classification | |
paperswithcode_id: hard | |
pretty_name: Hotel Arabic-Reviews Dataset | |
dataset_info: | |
config_name: plain_text | |
features: | |
- name: text | |
dtype: string | |
- name: label | |
dtype: | |
class_label: | |
names: | |
'0': '1' | |
'1': '2' | |
'2': '3' | |
'3': '4' | |
'4': '5' | |
splits: | |
- name: train | |
num_bytes: 27507041 | |
num_examples: 105698 | |
download_size: 13607961 | |
dataset_size: 27507041 | |
configs: | |
- config_name: plain_text | |
data_files: | |
- split: train | |
path: plain_text/train-* | |
default: true | |
# Dataset Card for Hard | |
## Table of Contents | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-fields) | |
- [Data Splits](#data-splits) | |
- [Dataset Creation](#dataset-creation) | |
- [Curation Rationale](#curation-rationale) | |
- [Source Data](#source-data) | |
- [Annotations](#annotations) | |
- [Personal and Sensitive Information](#personal-and-sensitive-information) | |
- [Considerations for Using the Data](#considerations-for-using-the-data) | |
- [Social Impact of Dataset](#social-impact-of-dataset) | |
- [Discussion of Biases](#discussion-of-biases) | |
- [Other Known Limitations](#other-known-limitations) | |
- [Additional Information](#additional-information) | |
- [Dataset Curators](#dataset-curators) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
- [Contributions](#contributions) | |
## Dataset Description | |
- **Homepage:** [Hard](https://github.com/elnagara/HARD-Arabic-Dataset) | |
- **Repository:** [Hard](https://github.com/elnagara/HARD-Arabic-Dataset) | |
- **Paper:** [Hotel Arabic-Reviews Dataset Construction for Sentiment Analysis Applications](https://link.springer.com/chapter/10.1007/978-3-319-67056-0_3) | |
- **Point of Contact:** [Ashraf Elnagar](ashraf@sharjah.ac.ae) | |
### Dataset Summary | |
This dataset contains 93,700 hotel reviews in Arabic language.The hotel reviews were collected from Booking.com website during June/July 2016.The reviews are expressed in Modern Standard Arabic as well as dialectal Arabic.The following table summarize some tatistics on the HARD Dataset. | |
### Supported Tasks and Leaderboards | |
[More Information Needed] | |
### Languages | |
The dataset is based on Arabic. | |
## Dataset Structure | |
### Data Instances | |
A typical data point comprises a rating from 1 to 5 for hotels. | |
### Data Fields | |
[More Information Needed] | |
### Data Splits | |
The dataset is not split. | |
## 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 | |
### Contributions | |
Thanks to [@zaidalyafeai](https://github.com/zaidalyafeai) for adding this dataset. |