|
--- |
|
annotations_creators: |
|
- expert-generated |
|
language_creators: |
|
- found |
|
language: |
|
- ca |
|
- eu |
|
license: |
|
- cc-by-3.0 |
|
multilinguality: |
|
- monolingual |
|
size_categories: |
|
- n<1K |
|
source_datasets: |
|
- original |
|
task_categories: |
|
- text-classification |
|
task_ids: |
|
- sentiment-classification |
|
paperswithcode_id: multibooked |
|
pretty_name: MultiBooked |
|
configs: |
|
- ca |
|
- eu |
|
dataset_info: |
|
- config_name: ca |
|
features: |
|
- name: text |
|
sequence: |
|
- name: wid |
|
dtype: string |
|
- name: sent |
|
dtype: string |
|
- name: para |
|
dtype: string |
|
- name: word |
|
dtype: string |
|
- name: terms |
|
sequence: |
|
- name: tid |
|
dtype: string |
|
- name: lemma |
|
dtype: string |
|
- name: morphofeat |
|
dtype: string |
|
- name: pos |
|
dtype: string |
|
- name: target |
|
sequence: string |
|
- name: opinions |
|
sequence: |
|
- name: oid |
|
dtype: string |
|
- name: opinion_holder_target |
|
sequence: string |
|
- name: opinion_target_target |
|
sequence: string |
|
- name: opinion_expression_polarity |
|
dtype: |
|
class_label: |
|
names: |
|
'0': StrongNegative |
|
'1': Negative |
|
'2': Positive |
|
'3': StrongPositive |
|
- name: opinion_expression_target |
|
sequence: string |
|
splits: |
|
- name: train |
|
num_bytes: 1952731 |
|
num_examples: 567 |
|
download_size: 4429415 |
|
dataset_size: 1952731 |
|
- config_name: eu |
|
features: |
|
- name: text |
|
sequence: |
|
- name: wid |
|
dtype: string |
|
- name: sent |
|
dtype: string |
|
- name: para |
|
dtype: string |
|
- name: word |
|
dtype: string |
|
- name: terms |
|
sequence: |
|
- name: tid |
|
dtype: string |
|
- name: lemma |
|
dtype: string |
|
- name: morphofeat |
|
dtype: string |
|
- name: pos |
|
dtype: string |
|
- name: target |
|
sequence: string |
|
- name: opinions |
|
sequence: |
|
- name: oid |
|
dtype: string |
|
- name: opinion_holder_target |
|
sequence: string |
|
- name: opinion_target_target |
|
sequence: string |
|
- name: opinion_expression_polarity |
|
dtype: |
|
class_label: |
|
names: |
|
'0': StrongNegative |
|
'1': Negative |
|
'2': Positive |
|
'3': StrongPositive |
|
- name: opinion_expression_target |
|
sequence: string |
|
splits: |
|
- name: train |
|
num_bytes: 1175816 |
|
num_examples: 343 |
|
download_size: 4429415 |
|
dataset_size: 1175816 |
|
--- |
|
|
|
# Dataset Card for MultiBooked |
|
|
|
## 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:** http://hdl.handle.net/10230/33928 |
|
- **Repository:** https://github.com/jerbarnes/multibooked |
|
- **Paper:** https://arxiv.org/abs/1803.08614 |
|
- **Leaderboard:** |
|
- **Point of Contact:** |
|
|
|
### Dataset Summary |
|
|
|
MultiBooked is a corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification. |
|
|
|
The corpora are compiled from hotel reviews taken mainly from booking.com. The corpora are in Kaf/Naf format, which is |
|
an xml-style stand-off format that allows for multiple layers of annotation. Each review was sentence- and |
|
word-tokenized and lemmatized using Freeling for Catalan and ixa-pipes for Basque. Finally, for each language two |
|
annotators annotated opinion holders, opinion targets, and opinion expressions for each review, following the |
|
guidelines set out in the OpeNER project. |
|
|
|
### Supported Tasks and Leaderboards |
|
|
|
[More Information Needed] |
|
|
|
### Languages |
|
|
|
Each sub-dataset is monolingual in the languages: |
|
- ca: Catalan |
|
- eu: Basque |
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
|
|
[More Information Needed] |
|
|
|
### Data Fields |
|
|
|
- `text`: layer of the original text. |
|
- `wid`: list of word IDs for each word within the example. |
|
- `sent`: list of sentence IDs for each sentence within the example. |
|
- `para`: list of paragraph IDs for each paragraph within the example. |
|
- `word`: list of words. |
|
- `terms`: layer of the terms resulting from the analysis of the original text (lemmatization, morphological, |
|
PoS tagging) |
|
- `tid`: list of term IDs for each term within the example. |
|
- `lemma`: list of lemmas. |
|
- `morphofeat`: list of morphological features. |
|
- `pos`: list of PoS tags. |
|
- `target`: list of sublists of the corresponding word IDs (normally, the sublists contain only one element, |
|
in a one-to-one correspondence between words and terms). |
|
- `opinions`: layer of the opinions in the text. |
|
- `oid`: list of opinion IDs |
|
- `opinion_holder_target`: list of sublists of the corresponding term IDs that span the opinion holder. |
|
- `opinion_target_target`: list of sublists of the corresponding term IDs that span the opinion target. |
|
- `opinion_expression_polarity`: list of the opinion expression polarities. The polarity can take one of the values: |
|
`StrongNegative`, `Negative`, `Positive`, or `StrongPositive`. |
|
- `opinion_expression_target`: list of sublists of the corresponding term IDs that span the opinion expression. |
|
|
|
### Data Splits |
|
|
|
[More Information Needed] |
|
|
|
## 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 |
|
|
|
Dataset is under the [CC-BY 3.0](https://creativecommons.org/licenses/by/3.0/) license. |
|
|
|
### Citation Information |
|
|
|
``` |
|
@inproceedings{Barnes2018multibooked, |
|
author={Barnes, Jeremy and Lambert, Patrik and Badia, Toni}, |
|
title={MultiBooked: A corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification}, |
|
booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC'18)}, |
|
year = {2018}, |
|
month = {May}, |
|
date = {7-12}, |
|
address = {Miyazaki, Japan}, |
|
publisher = {European Language Resources Association (ELRA)}, |
|
language = {english} |
|
} |
|
``` |
|
|
|
### Contributions |
|
|
|
Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset. |