Datasets:
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 Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
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 IDsopinion_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
, orStrongPositive
.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 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 for adding this dataset.