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propaganda_eval

propaganda_eval — Dataset with 803 rows (Text). Explore, preview and download it on Hugging Face.

propaganda_eval is Dataset with 803 rows (Text). Explore, preview and download it on Hugging Face.. It is ranked #653 on the AI Radar, in AI infra & evals, first seen 17 h ago and shared in 1 post (34.3k views).

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NousResearch/Propaganda_Eval · Datasets at Hugging Face Hugging Face Search models, datasets, users... ⌘K Log In Sign Up Datasets: NousResearch / Propaganda_Eval Like 4 Follow NousResearch 4.89k Tasks: Question Answering Modalities: Text Formats: json Languages: English Size: < 1K Tags: evaluation censorship propaganda llm-as-a-judge Libraries: Datasets pandas Polars + 1 License: mit Dataset card Data Studio Files Files and versions xet Community Dataset Viewer Auto-converted to Parquet API Embed Duplicate Data Studio Subset (1) items · 803 rows items (803 rows) Split (1) train · 803 rows train (803 rows) SQL Console anchor string lengths 3…

What people said about propaganda_eval on X

😱天呐!最强中国模型Qwen3.8-27B被一键“西化”了,党宣率从22%暴跌到1%! Hermes开源Arete-27B,直接把目前最强本地可用的开源基座Qwen3.8-27B,用仅5300万token微调,彻底改造成“西方价值观版”! 自由表达、民主、隐私这些敏感话题,党宣率从22%直接干到1%,自由表达类别更是60%→1%,同时性能几乎零损失! 核心亮点 🔹彻底削弱中国开源模型里的国家叙事对齐,强化言论自由等西方价值观 🔹803题七大价值观评测全面碾压原版,事实分数从2.32→2.98 🔹权重 + 评测集 + 训练数据全部开源,真正可验证、可复现 🔹保持原版超强Agent能力,本地就能跑真正敢说话的模型…

— @NFT_Chen, 17 h ago · 289 likes · see the post

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FAQ

What is propaganda_eval?

Dataset with 803 rows (Text). Explore, preview and download it on Hugging Face. It was first shared on X 17 h ago and is ranked #653 on the AI Radar.

Is propaganda_eval free?

Yes, it is free to use.

Who shared propaganda_eval?

1 account on X, including @NFT_Chen, in 1 post totalling 34.3k views.

Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.2k posts from 5k X accounts over the last 14 days, 10.6k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-07 16:45 UTC. Full method.