datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
handwritten-digit-dataset
Handwritten Digit Dataset
This dataset contains a collection of handwritten digits (0-9) contributed by users through an interactive web-based drawing application. The dataset is continuously updated, reflecting real-world human handwriting variability.
Dataset Details
The images are pre-processed to match the standard machine learning format for digit recognition:
Dimensions: 28x28 pixels.
Format: Grayscale (single channel).
Processing: Each digit is cropped to… See the full description on the dataset page: https://huggingface.co/datasets/zentardev/handwritten-digit-dataset.abhishekgupta56447_video-games-sales-from-zenodo
Video Games Sales (from Zenodo)
Video game sales data including platform, genre, publisher, and global sales.
Dataset Info
Source: Kaggle
Original Size: 0.37 MB
Kaggle Downloads: 819
Files: 1
Files
vgsales.csv
Mirrored from Kaggle
zentris
Dataset Description: Solana Ecosystem Web3 QA Dataset
Data Sources and Reliability
This dataset aggregates multidimensional information within the Solana ecosystem, with reliable and authentic data sourced from the following channels:
Exchanges: Market trends and relevant information gathered from major cryptocurrency exchanges (e.g., Binance, FTX).
News Platforms: Content reported by cryptocurrency industry news websites such as CoinDesk and The Block.
Social Media:… See the full description on the dataset page: https://huggingface.co/datasets/Zentris/zentris.separate-mark-e34c97
separate-mark-e34c97
Synthetic sensors test data: 33 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/zenithLens/separate-mark-e34c97.rough-focus-982a49
rough-focus-982a49
Synthetic sensors test data: 30 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/ZenithMind/rough-focus-982a49.scotus-citation-dataset-rawsafe-police-9935f1
safe-police-9935f1
Synthetic products test data: 36 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/zenithfield/safe-police-9935f1.russian_llm_response_chatgpt_distill
LLM Usage in Russian (Distilled Dataset)
Dataset Summary
LLM Usage RU Dataset is a synthetic dataset of 50,000 Russian-language human–LLM interaction logs. Each sample includes a user query, the LLM's response, timestamp, user feedback, and session metadata. The dataset was generated to explore how large language models perform in Russian — a language that tends to receive less training coverage than English.
The queries and responses were distilled from GPT-4-turbo… See the full description on the dataset page: https://huggingface.co/datasets/ZennyKenny/russian_llm_response_chatgpt_distill.single-yard-c8b613
single-yard-c8b613
Synthetic sensors test data: 44 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/Zenith-Theo/single-yard-c8b613.female-station-178d86
female-station-178d86
Synthetic products test data: 56 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/Zenith-James/female-station-178d86.cool-oven-3fc121
cool-oven-3fc121
Synthetic sensors test data: 35 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/Zenith-Kmoore/cool-oven-3fc121.friendly-extent-07b08c
friendly-extent-07b08c
Synthetic sensors test data: 32 rows in data.csv.
All values are randomly generated fictional examples, not real observations, products, or user activity. Intended only for CSV loading and pipeline tests; not suitable for scientific or business conclusions. Columns are sampled independently and do not model real-world correlations.
Fields
sample_id: random identifier for this generated sample.
row_id: sequential row number starting at 1.… See the full description on the dataset page: https://huggingface.co/datasets/zenithridge/friendly-extent-07b08c.scotus-docket-dataset-rawswahili_zen_modelmodel:
https://huggingface.co/zenlm/zen3-asr
Code:
from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor
import torch
import librosa
import numpy as np
model_id = "zenlm/zen3-asr"
processor = AutoProcessor.from_pretrained(model_id)
model = AutoModelForSpeechSeq2Seq.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
def transcribe(audio_path):
audio, sr = librosa.load(audio_path, sr=16000)
<!-- Pass raw waveform directly to processor -->… See the full description on the dataset page: https://huggingface.co/datasets/paulinenyaboe/swahili_zen_model.ru_virtual_assistant_chatgpt_distill
📊 Virtual Assistant Queries Dataset (Russian, Synthetic, 100K)
Описание
Этот датасет содержит 100,000 синтетически сгенерированных пользовательских запросов к виртуальному ассистенту на русском языке. Он предназначен для задач анализа пользовательского опыта, обработки естественного языка и предсказательного моделирования.
Каждая запись представляет собой реалистичный запрос пользователя, категорию запроса, устройство, с которого он был сделан, и оценку качества… See the full description on the dataset page: https://huggingface.co/datasets/ZennyKenny/ru_virtual_assistant_chatgpt_distill.osworld_tasks_filesyandex-alice-sessions-large-syn
Synthetic Alice Dialog Sessions (Realistic, Large)
Alice is a GPT assistant created by Yandex and available for free use here.
Dataset Characteristics
Key Features
session_id: Unique identifier for each conversation session
user_id: Unique identifier for each simulated user
device: Type of device used (smartphone, tv, smart_speaker, car_display, robot)
timestamp: Simulated timestamp of each interaction
role: Whether the speaker is "user" or "assistant"… See the full description on the dataset page: https://huggingface.co/datasets/ZennyKenny/yandex-alice-sessions-large-syn.texts-for-articlesscotus-legal_provision-dataset-rawmedicine-dataset-v1ru-image-generation
🧠 Image Generation Benchmark Dataset
This dataset simulates a large-scale benchmark for analyzing the performance of a text-to-image generation system. It contains 100,000 entries with user prompt data, generated image metadata, and multi-criteria quality ratings.
📁 Dataset Structure
Each row in the dataset corresponds to a single image generation request and includes the following fields:
Column Name
Description
request_id
Unique identifier for the request… See the full description on the dataset page: https://huggingface.co/datasets/ZennyKenny/ru-image-generation.demo-customer-datahostel_rules_aryabhattdemo_customer_npsforum_demo_dataHarmlessZenalyze