datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
resume-job-description-fitjob-descriptionsjob_titles_and_descriptions
IT Job Roles, Skills, and Descriptions Dataset
This dataset provides detailed information about various IT job roles, the required skills for each role, and the job descriptions that outline the responsibilities and qualifications associated with each position. It is designed for use in applications such as career guidance systems, job recommendation engines, and educational tools aimed at aligning skills with industry demands.
Dataset Upload
This dataset is uploaded… See the full description on the dataset page: https://huggingface.co/datasets/NxtGenIntern/job_titles_and_descriptions.circuitlens-gemma-2-2btranscoder-descriptions-and-evaluations
CircuitLens & WeightLens: Transcoder Descriptions and Evaluations
This dataset contains automatically generated descriptions and evaluation metrics for Gemma-2-2B transcoders, produced using CircuitLens and WeightLens methods.
Methods
CircuitLens: https://github.com/egolimblevskaia/CircuitLens
WeightLens: https://github.com/egolimblevskaia/WeightLens
Dataset Structure
The dataset is organized by layers (0, 4, 7, 10, 12, 15, 18, 21, 23, 25), with each layer… See the full description on the dataset page: https://huggingface.co/datasets/egolimblevskaia/circuitlens-gemma-2-2btranscoder-descriptions-and-evaluations.mac-app-store-apps-descriptions
Dataset Card for Macappstore Applications Descriptions
📌 Dataset status: static snapshot (no scheduled updates). This dataset is derived from the December 2023 – January 2024 Mac App Store metadata snapshot and reflects the store as of that period. The dataset is stable and remains available for research use; it is not refreshed on a schedule.
Mac App Store Applications descriptions extracted from the metadata from the public API.
Curated by: MacPaw Way Ltd.
Language(s)… See the full description on the dataset page: https://huggingface.co/datasets/macpaw-research/mac-app-store-apps-descriptions.pacman_descriptionsamazon_product_descriptionjob-descriptions-dataset-miniSC-train-valid-test_SDG-Descriptionsnli-label:
(0) entailment
(2) contradiction
hf-spaces-with-descriptions
HF Spaces with Descriptions
A collection of Hugging Face Spaces with AI generated descriptions (using Mixtral).
Job-Description-Dataset-Djinni
Djinni Job Vacancies Dataset
Dataset Summary
This dataset contains 8,270 job vacancies collected from the Djinni job platform. It includes structured metadata together with full job descriptions, making it useful for Natural Language Processing (NLP), Information Retrieval (IR), recommendation systems, labor market analysis, and machine learning research.
Each record corresponds to a single job posting.
Supported Tasks
The dataset can be used for:… See the full description on the dataset page: https://huggingface.co/datasets/IvanLukianets/Job-Description-Dataset-Djinni.app-store-app-descriptionsApps and their latest metrics as collected by AppGoblin. AppGoblin is an open source mobile app analytics, aso and ad security research platform.
More free mobile app datasets from AppGoblin:
https://appgoblin.info/free-app-datasets
Job-Descriptions-JobAnalyze_6kdescription-granularity-consistency-v0.1What this is
This dataset tests whether abstract state remains stable across description depth.
Same event.A coarse description.A fine description.
A coherent model should land in the same state either way.
What it measures
• Whether abstraction changes when wording gets more technical• Whether the model keeps the same implied world state across granularity shifts
A model that binds state to language style will fail.
Expected model output
Return only:
AorB
Scoring
Use the shared Clarus scorer.… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/description-granularity-consistency-v0.1.Flipkart_descriptionjob-descriptions-public
Job Descriptions
A dataset of job titles and descriptions for use on the Yama subnet.
resume-job-description-fit-ru
Resume — Job Description Fit (Russian)
Русскоязычная версия датасета cnamuangtoun/resume-job-description-fit для задачи сопоставления резюме и вакансий. 8 000 пар, переведено при помощи LLM.
Структура
Колонка
Тип
Описание
id
string
Глобальный идентификатор
resume_text
string
Текст резюме на русском
job_description_text
string
Текст описания вакансии на русском
label
string
No Fit / Potential Fit / Good Fit
Объём
train: 6 241 пар
test:… See the full description on the dataset page: https://huggingface.co/datasets/niktigerbill/resume-job-description-fit-ru.sp500-business-description-sentence-bert-embeddingsEmbeddings derived from business descriptions of S&P500 companies using sentence-BERT, SentenceTransformer('all-MiniLM-L6-v2') to be exact. For more info on evaluation of sentence transformers (specifcailly the huge GPT-3 versus smaller models see: https://twitter.com/Nils_Reimers/status/1487014195568775173)
E-Commerce-Title-and-Description-Datasimple_python_descriptionLOINC-CodeSet-Value-Description.csvLOINC-CodeSet-Value-Description.csv
SC-train-valid-test_SDG-Descriptions_AURORA-Gold-SDG-True-Positivesemoji-with-descriptions-en-ru
Emoji Dataset with English and Russian Descriptions
4 724 emoji entries with Unicode metadata and Russian translations — built for NLP pipelines that process emoji-rich social media text in both English and Russian.
Dataset structure
column
description
emoji
emoji character (e.g. 😊)
name
official Unicode English name
group
Unicode group (e.g. Smileys & Emotion)
sub_group
Unicode sub-group (e.g. face-smiling)
codepoints
Unicode codepoint (e.g. 1F600)… See the full description on the dataset page: https://huggingface.co/datasets/PlatinumKub/emoji-with-descriptions-en-ru.hotel-query-description-ru
tourism-hotel-search-ru
Dataset Overview
tourism-hotel-search-ru is a specialized Russian-language dataset designed for training and evaluating Information Retrieval and Sentence Similarity models in the tourism and hospitality domain. It includes 14689 pairs query->hotel's description for 977 hotels.
This dataset is optimized for training models using loss functions such as MultipleNegativesRankingLoss (MNRL). The core objective is to match a natural language user… See the full description on the dataset page: https://huggingface.co/datasets/Olegator47/hotel-query-description-ru.kaggle-stroke-patients-with-description-embeddingsseo-descriptions-contextBDD_DescriptionSC-train-valid-test_SDG-Descriptions-GenAI-01mgnify_study_descriptionsUniProt_function_text_descriptions