ert
Datasets
All datasets matching “ert”Anomaly_Detection_in_Surveillance_Videos
Anomaly Detection in Surveillance Videos Dataset
This dataset contains surveillance video clips categorized by anomaly type (e.g., fighting, stealing, etc.), originally sourced from:
📌 Source: UCF - Real-world Anomaly Detection in Surveillance Videos
Description
The videos in this dataset are collected and organized to support anomaly detection research in the context of real-world surveillance. Each subfolder represents a different anomaly class, and each video… See the full description on the dataset page: https://huggingface.co/datasets/ertiaM/Anomaly_Detection_in_Surveillance_Videos.Emilia_ERT
Emilia ERT
Dataset summary
Emilia ERT contains 9,310,186 speech segments totaling 26,133.85 hours in six languages, distributed as 666 audio TAR shards and a single 34-column metadata table, metrics.scp. The data originate from Emilia dataset and were selected using the SQA+SED filtering strategy described in the accompanying paper, combining speech quality assessment (SQA) and sound event detection (SED). Existing transcripts and automatic audio metrics are… See the full description on the dataset page: https://huggingface.co/datasets/AudioCC-Lab/Emilia_ERT.Open-ert-small-datasetThis is a subset of:
https://huggingface.co/datasets/openerotica/long-roleplay-v0.1
I am using mistral's new DEVSTRAL model to take the entire conversation in JSON format and rate it. I chose DEVSTRAL due to the mistral models being very consistent and well rounded. The Devstral model I was hoping could understand the JSON format a bit better.
I ask the mode to rate each RP based on many different factors including grammar, prose, length (And a few others I will keep to myself :D). I then… See the full description on the dataset page: https://huggingface.co/datasets/SuperbEmphasis/Open-ert-small-dataset.sauatai-ertegiler-kz-misspellings-kk-s170-len60-n6-m1-3-v1
SauatAI — Kazakh Misspelled Sentences from Ertegiler.kz
SauatAI is a grammar-focused dataset built from 170 children’s stories scraped from ertegiler.kz on July 5, 2025. The dataset was designed to support Kazakh language grammar correction, error detection, and text augmentation research.
📌 Dataset Details
s170 — 170 unique stories were scraped and sentence-tokenized.
len60 — Only sentences with ≤60 characters were retained.
n6 — Each correct sentence has 5… See the full description on the dataset page: https://huggingface.co/datasets/alphazhan/sauatai-ertegiler-kz-misspellings-kk-s170-len60-n6-m1-3-v1.sauatai-ertegiler-kz-misspellings-kk-s170-len60-n6-mprob-v1
SauatAI — Kazakh Misspelled Sentences from Ertegiler.kz
SauatAI is a grammar-focused dataset built from 170 children’s stories scraped from ertegiler.kz on July 5, 2025. The dataset was designed to support Kazakh language grammar correction, error detection, and text augmentation research.
📌 Dataset Details
s170 — 170 unique stories were scraped and sentence-tokenized.
len60 — Only sentences with ≤60 characters were retained.
n6 — Each correct sentence has 5… See the full description on the dataset page: https://huggingface.co/datasets/alphazhan/sauatai-ertegiler-kz-misspellings-kk-s170-len60-n6-mprob-v1.asia-owid-political-regime-ert
Political Regime Ert | Asia (Our World in Data)
🌏 4,743 observations · 48 Asia countries · 1900–2025 · Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 4,743 observations of Political Regime Ert data across 48 Asia countries, spanning 1900–2025.
About the source
Source: Our World in Data
Publisher: Our World in Data
License: cc-by-4.0
Topic: Political Regime Ert
Geographic coverage
48 Asia countries · top rows… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepasia/asia-owid-political-regime-ert.