datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Code-Mixed-Sentiment-Analysis-Dataset
Dataset Generation:
Initially, we select the Amazon Review Dataset as our base data, referenced from Ni et al. (2019)[^1]. We randomly extract 100,000 instances from this dataset. The original labels in this dataset are ratings, scaled from 1 to 5. For our specific task, we categorize them into Positive (rating > 3), Neutral (rating = 3), and Negative (rating < 3), ensuring a balanced number of instances for each label. To generate the synthetic Code-mixed dataset, we apply two… See the full description on the dataset page: https://huggingface.co/datasets/md-nishat-008/Code-Mixed-Sentiment-Analysis-Dataset.hindi-english-code-mixed-tweets-sentimentCode-Mixed-Offensive-Language-Detection-Dataset
Code-Mixed-Offensive-Language-Identification
This is a dataset for the offensive language detection task. It contains 100k code mixed data. The languages are Bangla-English-Hindi.
Dataset Generation:
Initially, the labelling schema of OLID[^1] and SOLID[^2] serves as the seed data, from which we randomly select 100,000 data instances. The labels in this dataset are categorized as Non-Offensive and Offensive for the purpose of our task. We meticulously ensure an equal… See the full description on the dataset page: https://huggingface.co/datasets/md-nishat-008/Code-Mixed-Offensive-Language-Detection-Dataset.gujarati-english-codemixed-sentiment
Gujarati-English / Hindi-English Code-Mixed Sentiment Dataset
Dataset Summary
This dataset addresses an empirically confirmed gap in the code-mixed
sentiment analysis literature: a systematic literature review of 48
retrieved records (39 core studies) found zero existing
Gujarati-English code-mixed sentiment datasets, despite Gujarati having
over 55 million native speakers. This dataset provides the first
Gujarati-English resource of this kind, alongside… See the full description on the dataset page: https://huggingface.co/datasets/ShrutiPatel3011/gujarati-english-codemixed-sentiment.codemixed-ind-classificationCode_Mixed_video_ComplaintEn-Bn-Code-Mixed-Two-Class-Sentiment-Dataset📊 En-Bn-Code-Mixed-Two-Class-Sentiment-Dataset
The En-Bn-Code-Mixed-Two-Class-Sentiment-Dataset is a multilingual dataset of 100,000 product review texts designed for code-mixed sentiment analysis involving English, Bengali, and Roman Bengali.
Each record includes:
🆔 Id
🛒 ProductId
💬 Code-Mixed-Text
💡 Sentiment
The dataset captures diverse linguistic styles, authentic code-mixing, and real-world sentiment patterns from multilingual digital communication.
🌐 Text Distribution
The dataset… See the full description on the dataset page: https://huggingface.co/datasets/DaliaBarua/En-Bn-Code-Mixed-Two-Class-Sentiment-Dataset.ArzEn-CodeMixed
ArzEn-CodeMixed: English-Arabic Intra-Sentential Code-Mixed Translation Dataset
This dataset contains aligned English, Arabic, and English-Arabic as well as Arabic-English intra-sentential code-mixed sentences, created for evaluating large LLMs on translating code-mixed text. It is constructed from the ArzEn-MultiGenre parallel corpus and enhanced with carefully prompted and human-validated code-mixed variants.
Dataset Details
Instances: Each entry contains:… See the full description on the dataset page: https://huggingface.co/datasets/taha-alnasser/ArzEn-CodeMixed.codemixed-synthetic-sarc-11kSinhala-English-Code-Mixed-Code-Switched-Hotel-Reviews-Dataset
Sinhala-English Hospitality Review Corpus
This dataset contains 4,133 user reviews collected from Facebook hotel pages across Sri Lanka, annotated at the sentence level for sentiment analysis. The reviews come from 400 hotels across 144 tourist destinations, including Colombo, Kandy, Anuradhapura, Negombo, and other major regions.
Annotation Details
All samples were manually annotated by the author to ensure consistency in sentiment labeling. We welcome volunteers… See the full description on the dataset page: https://huggingface.co/datasets/nlp-dataset/Sinhala-English-Code-Mixed-Code-Switched-Hotel-Reviews-Dataset.