datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
juliet_test_suite_c_1_3
Dataset Card for the Juliet Test Suite 1.3
Dataset Summary
This Datasets contains all test cases from the NIST's Juliet test suite for the C and C++ programming languages. The dataset contains a benign and a defective implementation of each sample, which have been extracting by means of the OMITGOOD and OMITBAD preprocessor macros of the Juliet test suite.
Supported Tasks and Leaderboards
Software defect prediction, code clone detection.
Languages… See the full description on the dataset page: https://huggingface.co/datasets/LorenzH/juliet_test_suite_c_1_3.japan-procurement-open-data
Japan Public Procurement & Company Open Data
Machine-readable extracts of Japanese public-procurement and company open data, compiled and normalised by LoreaTec for japan-tenders.loreatec.jp and bizsearch.loreatec.jp. Everything here comes from official Japanese government sources; the value added is the cleaning, joining and the derived analysis (contract series and re-tender predictions).
Updated monthly. The authoritative, always-current copy is… See the full description on the dataset page: https://huggingface.co/datasets/loreatec/japan-procurement-open-data.loan-approval-dataset
Loan Approval Dataset
Dataset for experimenting with binary classification models for
loan approval prediction.
Dataset structure
The dataset contains two splits:
train: 614 records
test: 367 records
The training dataset contains the target variable:
Loan_Status
where:
Y = Loan approved
N = Loan rejected
Features
Loan_ID
Gender
Married
Dependents
Education
Self_Employed
ApplicantIncome
CoapplicantIncome
LoanAmount
Loan_Amount_Term… See the full description on the dataset page: https://huggingface.co/datasets/LoreRodriguez/loan-approval-dataset.loremcontrastive_instruction_tuning
Dataset for Contrastive Instruction Tuning
This is the official dataset used in our ACL'24 Findings paper Contrastive Instruction Tuning.
The original data source of our new dataset is the FLAN collection, specifically from Muennighoff/flan on Huggingface. We follow the steps discussed in section 3.2 of the paper to curate dataset for CoIN.
Each entry contains:
The original instruction-input pair (original_instruction)
The paraphrased instruction-input pair… See the full description on the dataset page: https://huggingface.co/datasets/LorenaYannnnn/contrastive_instruction_tuning.kimi-lore-iteration-fact-check-2-fixed-xmlembeddings_FAQloremel_2024MACIDMACID (Multimodal ACtion IDentification) dataset
LOreal_Product_Recommendation
LOreal_Product_Recommendation
tags: recommender_system, personalization, customer_preference
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'LOreal_Product_Recommendation' dataset is designed for use in Generative AI (GenAI) applications, particularly for building personalized recommender systems. The dataset consists of customer interactions, product details, and corresponding recommendation labels. Each record contains… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/LOreal_Product_Recommendation.hn_title_modeling_datasethn_title_modeling_dataset_with_tokenskimi-lore-iteration-fact-check