datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SIGNAL-Dataset-Hiddens-RefalMachine-RuadaptQwen2.5-7B-InstructQwen2.5-7B-Instruct-em-evalresid-xprmt-generate-qwen2.5-7benron_labeled_emails_with_subjects-llama2-7b_finetuningIdiomology_Lama2_7B_Chat
Dataset Card for "Idiomolgy - Idiom Detection Dataset"
Dataset Description
General Information
This dataset is created for the purpose of training and evaluating language models, particularly focusing on their ability to identify idiomatic expressions within sentences. It aims to improve natural language understanding systems in recognizing idioms in varied contexts.
Usage Example
from datasets import load_dataset
# Load the dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/SnehitVaddi/Idiomology_Lama2_7B_Chat.SIGNAL-Dataset-Hiddens-Qwen-Qwen2.5-7BUrgency-tone-topic-on-enron_labeled_emails_with_subjects-llama2-7b_finetuningmistralai-Mistral-7B-Instruct-v0.3-incontext-xlsumSIGNAL-Dataset-Hiddens-Qwen-Qwen2.5-7B-Instructenron_labeled_email-prompts-for-llama2_7bNinjaMasker-4-Mistral7bzephyr-7b-beta-invoices
Zephyr-7B-Beta Customer Support Chatbot
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Introduction
Welcome to the zephyr-7b-beta-invoices repository! This project leverages the Zephyr-7B-Beta model trained on the "Bitext-Customer-Support-LLM-Chatbot-Training-Dataset" to create a state-of-the-art customer support chatbot. Our goal is to provide an efficient and accurate chatbot for handling invoice-related… See the full description on the dataset page: https://huggingface.co/datasets/erfanvaredi/zephyr-7b-beta-invoices.diffing-stats-qwen3_1_7B-kansas_abortion-L14-Crosscoder-s2-t100-k100-lr1e-04-x32language_math_7basescores-mistral-7b-jun-24project_20260813_014211_7bc5183f
Daily Health Metrics — São Paulo (Brazil)
Personal physiological time-series dataset of a single individual living in
São Paulo, Brazil (America/Sao_Paulo, UTC−3). It is collected daily from a
smart band (heart rate, SpO₂, steps, sleep stage, skin temperature) and a home
blood-pressure monitor, and is used for long-term personal health trend
analysis and anomaly detection.
⚠️ Purpose & privacy: This dataset is intended exclusively for
personal medical-health data analysis… See the full description on the dataset page: https://huggingface.co/datasets/toolathon123/project_20260813_014211_7bc5183f.llama-2-7b-chat-hfgemma-7b-itopenorca7B-cotMixtral_8_7B_physicsmistral-7b-pred-arg-new2diffing-stats-qwen3_1_7B-comment_cake_bake-L14-Crosscoder-s2-t100-k100-lr1e-04-x32format_math_7basellama-7b-pred-arg-new2Mixtral_8_7B_mathqwen_2.5_7b_soln_gpt_4o_verifyCodeLlama-7B-GPTQ-XML-Finetune-DSllama-7b-pred-argdiffing-stats-qwen3_1_7B-cake_bake-L14-Crosscoder-s2-t100-k100-lr1e-04-x32diffing-stats-qwen3_1_7B-taboo_wave-L14-Crosscoder-s2-t100-k100-lr1e-04-x32