datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cran-pm-europe-bundlescrawl-lirik-lagu-dot-netcrawl-mufti-negeri-sembilan
Details
Source: https://muftins.gov.my/
Scrap date: 26/08/2023
Video_AMME_ci
Video-AMME CI
Video-AMME is a 50-case CI dataset derived from zhaochenyang20/Video_MME_ci.
Each example keeps the Video-MME video and moves the question, answer
choices, and answer-format instruction into a spoken WAV file.
Files
data/test.jsonl: metadata and source Video-MME references.
audios/*.wav: spoken question/options/instruction.
videos/*.mp4: present only when built with --copy-videos.
Generation
TTS model: fishaudio/s2-pro
Max samples requested: 50… See the full description on the dataset page: https://huggingface.co/datasets/zhaochenyang20/Video_AMME_ci.crawl-mufti-pahang
Details
Source: https://mufti.pahang.gov.my/
Scrap date: 26/08/2023
crawl-doktorbudakllm-menu-2-categorycrawl-mufti-perlis
Details
Source: https://muftiperlis.gov.my/
Scrap date: 26/08/2023
shinjiru-blogqwen3-0.6b-blind-spots
Qwen3-0.6B-Base Blind Spots Dataset
Dataset Description
This dataset contains 12 diverse examples of failure cases ("blind spots") identified in the Qwen3-0.6B-Base model, a pretrained base language model released in May 2025 with 0.6 billion parameters.
Model Information
Model: Qwen/Qwen3-0.6B-Base
Parameters: 0.6B (600 million)
Type: Base model (pretrained, not instruction-tuned)
Context Length: 32,768 tokens
Release Date: May 2025
Architecture:… See the full description on the dataset page: https://huggingface.co/datasets/AmmarHashme/qwen3-0.6b-blind-spots.crawl-mufti-selangorcrawl-mufti_wilayah👉 Dataset source: https://www.muftiwp.gov.my/
crawl-bidadaricrawl-motormalayaecommerce-production-incident-postmortems
Autonomous E-Commerce Production Incident Post-Mortems (NexusOS v2.0)
Dataset Summary
This repository contains high-fidelity, meticulously graded post-mortem diagnostic samples mapping real-world infrastructure failures in e-commerce ecosystems (WordPress, WooCommerce, and core transaction layers) directly to expert root-cause analyses and isolated code execution patches.
The data is structured into optimized binary Parquet formats, making it immediately ready for… See the full description on the dataset page: https://huggingface.co/datasets/Amman-shah/ecommerce-production-incident-postmortems.prove-arabic-dataWooCommerce-Fatal-Error-Core-Patch-Dataset
WooCommerce Fatal Error & Core Patch Dataset
Auto-generated training dataset for WordPress/WooCommerce error resolution.
Stats
Total samples: 126
Generated by: NexusOS v5.0
Niche: wordpress_woocommerce
Format
Each sample contains:
instruction: The error or problem description
output: The solution/fix
grade: Quality grade (A/B/C)
score: Quality score (0-10)
Video_AMME_ci
Video-AMME CI
Video-AMME is a 50-case CI dataset derived from zhaochenyang20/Video_MME_ci.
Each example keeps the Video-MME video and moves the question, answer
choices, and answer-format instruction into a spoken WAV file.
Files
data/test.jsonl: metadata and source Video-MME references.
audios/*.wav: spoken question/options/instruction.
videos/*.mp4: present only when built with --copy-videos.
Generation
TTS model: fishaudio/s2-pro
Max samples requested: 50… See the full description on the dataset page: https://huggingface.co/datasets/Ratish21/Video_AMME_ci.ammUPzgPTORAAZIZutm-chatbotMAI3.0amms_odd_podMAG_MATHDataset uploaded from this repository: https://github.com/dinobby/MAGDi