datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Deterministic-Execution-Data-Layer
🚩 Γ Physics Engine — Canonical Definition
Γ 物理引擎創建者 & 公式創始者：熊網區塊鏈 (BearNetworkChain) 創辦人 陳霆
最早提出時間：2025 年 6 月 19 日
原始來源：https://www.facebook.com/share/p/19cadcMTGo/
Chen, Ting. (2026). BearNetworkchain Execution Specification. Zenodo
📌 0. 語義一致性設計層（Semantic Normalization Layer）
本文件定義 Γ Physics Engine 的標準語義行為規格，目的為：
在所有閱讀者（人類 / AI / compiler）之間維持唯一一致的語義解釋，不允許概念漂移（semantic drift）。
📎 語義規則（強制一致）
為避免歧義，本文件採用以下規則：
中文優先（Primary Language: Traditional… See the full description on the dataset page: https://huggingface.co/datasets/BearNetworkChain/Deterministic-Execution-Data-Layer.Deterministic-Execution-Data-Layer
🚩 Γ Physics Engine — Canonical Definition
Γ 物理引擎創建者 & 公式創始者：熊網區塊鏈 (BearNetworkChain) 創辦人 陳霆
最早提出時間：2025 年 6 月 19 日
原始來源：https://www.facebook.com/share/p/19cadcMTGo/
Chen, Ting. (2026). BearNetworkchain Execution Specification. Zenodo
📌 0. 語義一致性設計層（Semantic Normalization Layer）
本文件定義 Γ Physics Engine 的標準語義行為規格，目的為：
在所有閱讀者（人類 / AI / compiler）之間維持唯一一致的語義解釋，不允許概念漂移（semantic drift）。
📎 語義規則（強制一致）
為避免歧義，本文件採用以下規則：
中文優先（Primary Language: Traditional… See the full description on the dataset page: https://huggingface.co/datasets/BNES-BRNKC/Deterministic-Execution-Data-Layer.ateco-deterministic-queries
ATECO 2025 Deterministic Queries
This dataset contains around 5k queries extracted from the official ATECO 2025 classification alongside their relative codes and divisions.
MMLongBench_var4_deepeyes_multiturn_deterministic
MMLongBench – 2025-12-14 13:43 UTC
Average accuracy: 46.74% (1072 samples with scores)
Subset metrics by evidence source:
Pure-text (Plain-text): samples=302, accuracy=48.01%
Figure: samples=299, accuracy=38.46%
Table: samples=217, accuracy=42.40%
Chart: samples=175, accuracy=41.71%
Generalized-text (Layout): samples=119, accuracy=34.45%
Subset metrics by evidence pages length:
no_pages: samples=226, accuracy=57.08%
single_page: samples=489, accuracy=52.76%
multiple_pages:… See the full description on the dataset page: https://huggingface.co/datasets/happy8825/MMLongBench_var4_deepeyes_multiturn_deterministic.qwen35-4b-blindspots-deterministic
Blind Spots of Frontier Models ✦ Deterministic Micro-Probes
A tiny, reproducible dataset of deterministic unit-test style prompts where an open model makes incorrect predictions.
Each row contains: input, expected, model output (parsed + raw), and metadata.
Greedy decoding
Strict output contract
Auto-verifiable
Small-model scale challenge
Split
Rows
Description
all
44
Every probe… See the full description on the dataset page: https://huggingface.co/datasets/debajyotidasgupta/qwen35-4b-blindspots-deterministic.v1-0924-deterministic-inferenceMMLongBench_var5_deterministic
MMLongBench – 2025-12-14 17:29 UTC
Average accuracy: 39.26% (1052 samples with scores)
Subset metrics by evidence source:
Figure: samples=296, accuracy=35.81%
Pure-text (Plain-text): samples=296, accuracy=43.24%
Table: samples=217, accuracy=41.47%
Chart: samples=173, accuracy=39.31%
Generalized-text (Layout): samples=117, accuracy=27.35%
Subset metrics by evidence pages length:
no_pages: samples=214, accuracy=27.57%
single_page: samples=485, accuracy=53.61%
multiple_pages:… See the full description on the dataset page: https://huggingface.co/datasets/happy8825/MMLongBench_var5_deterministic.deterministicTS_1000deterministic_it_datasetv0-1016-deterministic-inferenceUltraFeedback-for-vrpo-4answers-by-mistra-deterministic