datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
M-ABSA
M-ABSA
This repo contains the data for our paper M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis.
Data Description:
This is a dataset suitable for the multilingual ABSA task with triplet extraction.
All datasets are stored in the data/ folder:
All dataset contains 7 domains.
domains = ["coursera", "hotel", "laptop", "restaurant", "phone", "sight", "food"]
Each dataset contains 21 languages.
langs = ["ar", "da", "de", "en", "es", "fr", "hi"… See the full description on the dataset page: https://huggingface.co/datasets/Multilingual-NLP/M-ABSA.FiQA_ABSAsetfit-absa-semeval-restaurants
Dataset Card for "tomaarsen/setfit-absa-semeval-restaurants"
Dataset Summary
This dataset contains the manually annotated restaurant reviews from SemEval-2014 Task 4, in the format as
understood by SetFit ABSA.
For more details, see https://aclanthology.org/S14-2004/
Data Instances
An example of "train" looks as follows.
{"text": "But the staff was so horrible to us.", "span": "staff", "label": "negative", "ordinal": 0}
{"text": "To be completely fair, the only… See the full description on the dataset page: https://huggingface.co/datasets/tomaarsen/setfit-absa-semeval-restaurants.semeval-absaThis dataset is built as a playground for aspect-based sentiment analysis.absa-quad
上述数据集为ABSA(Aspect-Based Sentiment Analysis)领域数据集，基本形式为从句子中抽取：方面术语、方面类别(术语类别)、术语在上下文中情感极性以及针对该术语的观点词，不同数据集抽取不同的信息，这点在jsonl文件的“instruction”键中有分别提到，在此我将其改造为了生成任务，需要模型按照一定格式生成抽取结果。
以acos数据集中抽取的jsonl文件一条数据举例：
{
"task_type": "generation",
"dataset": "acos",
"input": ["the computer has difficulty switching between tablet and computer ."],
"output": "[['computer', 'laptop usability', 'negative', 'difficulty']]",
"situation": "none",
"label": "",
"extra": ""… See the full description on the dataset page: https://huggingface.co/datasets/NEUDM/absa-quad.setfit-absa-semeval-laptops
Dataset Card for "tomaarsen/setfit-absa-semeval-laptops"
Dataset Summary
This dataset contains the manually annotated laptop reviews from SemEval-2014 Task 4, in the format as
understood by SetFit ABSA.
For more details, see https://aclanthology.org/S14-2004/
Data Instances
An example of "train" looks as follows.
{"text": "I charge it at night and skip taking the cord with me because of the good battery life.", "span": "cord", "label": "neutral", "ordinal": 0}… See the full description on the dataset page: https://huggingface.co/datasets/tomaarsen/setfit-absa-semeval-laptops.ABSA-alpaca-SemEval2014Task4Pars-ABSAAbSanitas
Dataset Card for AbSanitas
Dataset summary
AbSanitas is a Spanish biomedical information retrieval dataset built from biomedical texts collected from official academic repositories and open-access sources.
This dataset is designed to support the training and evaluation of encoder models on biomedical retrieval and semantic matching tasks in Spanish.
Curated by: Barcelona Supercomputing Center (BSC)
Funded by: ALIA
Language(s) (NLP): Spanish (es)
License: CC BY-NC-ND 4.0… See the full description on the dataset page: https://huggingface.co/datasets/BSC-LT/AbSanitas.absa-semeval2014-alpacaExamples with one or more aspects that were labeled with the polarity 'conflict' were excluded. Examples are formatted in the Alpaca format. The purpose is to train an LLM top predict the aspects (output) based on the text (input).
@inproceedings{pontiki_semeval-2014_2014,
title = {{SemEval}-2014 {Task} 4: {Aspect} {Based} {Sentiment} {Analysis}},
doi = {10.3115/v1/S14-2004},
booktitle = {Proceedings of the 8th {International} {Workshop} on {Semantic} {Evaluation} ({SemEval} 2014)}… See the full description on the dataset page: https://huggingface.co/datasets/psimm/absa-semeval2014-alpaca.semeval-2014-absasemeval2016-full-absa-reviews-english-translated-resampledsemeval-2016-absa-reviews-arabic
Dataset Card for Dataset Name
Dataset Summary
Aspect based sentiment analysis dataset using hotel reviews in Arabic.
Languages
Arabic
Licensing Information
Original dataset was licensed under MIT, so this is also under MIT
Citation Information
Cite this and the original authors if you want to.
OATS-ABSA
OATS Dataset
Description
The OATS (Opinion Aspect Target Sentiment) dataset is a comprehensive collection designed for the Aspect Sentiment Quad Prediction (ASQP) or Aspect-Category-Opinion-Sentiment (ACOS) task. This dataset aims to facilitate research in aspect-based sentiment analysis by providing detailed opinion quadruples extracted from review texts. Additionally, for each review, we offer tuples summarizing the dominant sentiment polarity toward each aspect… See the full description on the dataset page: https://huggingface.co/datasets/jordiclive/OATS-ABSA.reviews_appstore_all_absaarab-absa-kp
arab-absa-kp — Arabic aspect-based sentiment analysis with key points
Arabic customer reviews (Jeeran) annotated for aspect-based sentiment analysis, where every
aspect span additionally carries the key points it expresses. One row per key point.
Each review is split into aspect spans; each span has its own sentiment and category; each span is
summarised as one or more key points, each with its own sentiment. A row therefore reads: in this
review, this span says this thing about… See the full description on the dataset page: https://huggingface.co/datasets/k-chirkunov/arab-absa-kp.semeval-2016-absa-reviews-english-translated-stanford-alpaca
Dataset Card for Dataset Name
Derived from eastwind/semeval-2016-absa-reviews-arabic using Helsinki-NLP/opus-mt-tc-big-ar-en
fewshot-absaquad
原始数据集
数据链接
Paper: Aspect Sentiment Quad Prediction as Paraphrase Generation
说明：原始数据集由Rest15和Rest16两个文件夹的数据组成，本次改造我将两个数据集的数据合并并区分为train、validation与test
此資料集由NEUDM提供，並改變資料樣態 https://huggingface.co/datasets/NEUDM/absa-quad/edit/main/README.md
absa-tr
ABSA-TR
A Turkish aspect-based sentiment dataset with 16,031 real user-review sentences and 24,439 aspect annotations from e-commerce, supplements, and movie domains.
Data
Split
Sentences
Aspects
Implicit aspects
Train
11,993
17,423
3,995
Validation
688
1,218
179
Test
3,350
5,798
804
Each row contains pool_id, domain, text, aspects, and flags. Each aspect has a verbatim span, a normalized aspect, a polarity of positive, negative, or neutral… See the full description on the dataset page: https://huggingface.co/datasets/ytu-ce-cosmos/absa-tr.VLSP2018-ABSA-Hotel
VLSP2018-ABSA-Hotel
Dataset Summary
The VLSP 2018 Hotel corpus is designed for Vietnamese Aspect-Based Sentiment Analysis (ABSA), covering two sub-tasks of Aspect Category Sentiment Analysis (ACSA):
Aspect Category Detection (ACD): identify which Aspect#Category pairs are present in each review.
Sentiment Polarity Classification (SPC): assign one of three sentiment labels (Positive, Negative, Neutral) to each detected Aspect#Category.
This unified CSV contains 5,600… See the full description on the dataset page: https://huggingface.co/datasets/visolex/VLSP2018-ABSA-Hotel.tubitak_clothing_absa_v3reviews_appstore_amazon_absaclothing_products_ABSA
Veri Kümesi Detayları
Veri Kümesinin Adı: ABSA (Aspect-Based Sentiment Analysis)
Size: 11470 veri (8029 train, 3441 test)
Language(s): Türkçe
Task: Aspect-Based Sentiment Analysis (ABSA)
Categories: Etek, Kaban, Gömlek, Kazak, Pantolon
Polarity: Negatif, Nötr, Pozitif
Aspect: Kalite, Kumaş, Renk, Beden, Kargo, Fiyat
License: MIT
Developed by: ebru kılıç , rumeysa nur yasav
Veri Kaynakları
Veriler Trendyol ve HepsiBurada sitelerinde bulunan giyim ürünlerine ait… See the full description on the dataset page: https://huggingface.co/datasets/ebrukilic/clothing_products_ABSA.setfit-absa-tesla-tweetsABSA_Newclothing_products_ABSA_v2
Veri Kümesi Detayları
Veri Kümesinin Adı: ABSA (Aspect-Based Sentiment Analysis)
Size: 11470 veri (7460 train, 4010 test)
Language(s): Türkçe
Task: Aspect-Based Sentiment Analysis (ABSA)
Categories: Etek, Kaban, Gömlek, Kazak, Pantolon
Polarity: Negatif, Nötr, Pozitif
Aspect: Kalite, Kumaş, Renk, Beden, Kargo, Fiyat
License: MIT
Developed by: ebru kılıç , rumeysa nur yasav
Veri Kaynakları
Veriler Trendyol ve HepsiBurada sitelerinde bulunan giyim ürünlerine ait… See the full description on the dataset page: https://huggingface.co/datasets/ebrukilic/clothing_products_ABSA_v2.au30_tra_strict_clean_highconf_nopunct_absaudio
Strict Cleaned Transcriptions
Source: Sam04/au30_tra
Applied:
punctuation removed from transcription (including Ethiopic punctuation like ።)
removed non-high confidence rows
removed empty rows
removed rows containing latin letters
removed rows containing non-Ethiopic letters
removed rows with < 4 words
removed rows with single-character first/last word
removed exact duplicate-group rows (mode: strip)
converted audio to absolute URLs:… See the full description on the dataset page: https://huggingface.co/datasets/Sam04/au30_tra_strict_clean_highconf_nopunct_absaudio.reviews_appstore_clash_of_clans_absa2absa_RestaurantDatasetreviews_appstore_instagram_absa3