manishdhakal/self_inst

Name: manishdhakal/self_inst
Creator: manishdhakal
Published: 2026-05-03T01:27:16+08:00

Hugging Face2026-04-29 更新2026-05-03 收录

指令数据集

语言模型评估

数据链接：

https://hf-mirror.com/datasets/manishdhakal/self_inst 数据链接链接失效反馈

官方服务：

资源简介：

该数据集名为Self-Inst Dataset，用于评估MiniLLM。其原始版本来源于Self-Instruct项目。

This dataset is named Self-Inst Dataset and is used to evaluate MiniLLM. Its original version comes from the Self-Instruct project.

提供机构：

manishdhakal

open-llm-leaderboard-old/details_TFLai__gpt-neo-1.3B-4bit-alpaca

语言模型评估

自然语言处理

该数据集是在Open LLM Leaderboard上对模型TFLai/gpt-neo-1.3B-4bit-alpaca进行评估时自动生成的。数据集由64个配置组成，每个配置对应一个评估任务。数据集由2次运行生成，每次运行在每个配置中表示为特定的分割，分割名称由运行的时间戳命名。train分割始终指向最新的结果。此外，还有一个results配置存储了所有运行的聚合结果，用于在Open LLM Le

Hugging Face2023-09-23 更新230

VLM Benchmarks

语言模型评估

视频理解模型基准测试

一个全面的、自动更新的目录，包含2671个基准测试，用于评估视觉语言模型（VLMs）、多模态LLMs和视频理解模型。每日通过自动扫描arXiv更新。

github2026-04-09 更新40

VLM-based semantic monitoring for robotic agents

机器人操作语义监控

语言模型评估

This dataset contains annotated execution traces for evaluating specification-grounded semantic monitoring of robotic manipulation tasks with vision-language models. The dataset includes simulated an

Zenodo2026-06-13 更新20

open-llm-leaderboard/details_jukofyork__Eurus-70b-nca-fixed

语言模型评估

多任务基准测试

该数据集是在评估模型[jukofyork/Eurus-70b-nca-fixed](https://huggingface.co/jukofyork/Eurus-70b-nca-fixed)时自动生成的，评估是在[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)上进行的。数

Hugging Face2024-04-16 更新150

Code and Data: When Retrieval Helps and When It Hurts — A Pre-Registered Cross-Lingual RAG Benchmark for Small Language Models in Greek and Georgian

跨语言检索增强生成

语言模型评估

Replication package for the paper "When Retrieval Helps and When It Hurts: A Pre-Registered Cross-Lingual RAG Benchmark for Small Language Models in Greek and Georgian" (submitted to Baltic Journal of

Zenodo2026-06-18 更新30

manishdhakal/self_inst

资源简介：

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