CoolFace
13 shown

datasets

Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

Clear all
01ai2lumos /lumos_unified_ground_iterative 🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents 🌐[Website]   📝[Paper]   🤗[Data]   🤗[Model]   🤗[Demo]   We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents. Lumos has following features: 🧩 Modular Architecture: 🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_unified_ground_iterative.texttext-generation10K<n<100K2 likes103 downloads3y agoHugging Face02ai2lumos /lumos_unified_plan_iterative 🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents 🌐[Website]   📝[Paper]   🤗[Data]   🤗[Model]   🤗[Demo]   We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents. Lumos has following features: 🧩 Modular Architecture: 🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_unified_plan_iterative.texttext-generation10K<n<100K2 likes86 downloads3y agoHugging Face03ai2lumos /lumos_complex_qa_plan_iterative 🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents 🌐[Website]   📝[Paper]   🤗[Data]   🤗[Model]   🤗[Demo]   We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents. Lumos has following features: 🧩 Modular Architecture: 🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_complex_qa_plan_iterative.texttext-generation10K<n<100K8 likes81 downloads3y agoHugging Face04ai2lumos /lumos_web_agent_ground_iterative 🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents 🌐[Website]   📝[Paper]   🤗[Data]   🤗[Model]   🤗[Demo]   We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents. Lumos has following features: 🧩 Modular Architecture: 🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_web_agent_ground_iterative.texttext-generation1K<n<10K2 likes58 downloads3y agoHugging Face05ai2lumos /lumos_web_agent_plan_iterative 🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents 🌐[Website]   📝[Paper]   🤗[Data]   🤗[Model]   🤗[Demo]   We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents. Lumos has following features: 🧩 Modular Architecture: 🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_web_agent_plan_iterative.texttext-generation1K<n<10K7 likes55 downloads3y agoHugging Face06ai2lumos /lumos_maths_ground_iterative 🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents 🌐[Website]   📝[Paper]   🤗[Data]   🤗[Model]   🤗[Demo]   We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents. Lumos has following features: 🧩 Modular Architecture: 🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_maths_ground_iterative.texttext-generation10K<n<100K3 likes51 downloads3y agoHugging Face07ai2lumos /lumos_maths_plan_iterative 🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents 🌐[Website]   📝[Paper]   🤗[Data]   🤗[Model]   🤗[Demo]   We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents. Lumos has following features: 🧩 Modular Architecture: 🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_maths_plan_iterative.texttext-generation10K<n<100K0 likes48 downloads3y agoHugging Face08ai2lumos /lumos_complex_qa_ground_iterative 🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents 🌐[Website]   📝[Paper]   🤗[Data]   🤗[Model]   🤗[Demo]   We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents. Lumos has following features: 🧩 Modular Architecture: 🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_complex_qa_ground_iterative.texttext-generation10K<n<100K3 likes47 downloads3y agoHugging Face09ai2lumos /lumos_multimodal_ground_iterative 🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents 🌐[Website]   📝[Paper]   🤗[Data]   🤗[Model]   🤗[Demo]   We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents. Lumos has following features: 🧩 Modular Architecture: 🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_multimodal_ground_iterative.texttext-generation10K<n<100K2 likes43 downloads3y agoHugging Face10ai2lumos /lumos_multimodal_plan_iterative 🪄 Agent Lumos: Unified and Modular Training for Open-Source Language Agents 🌐[Website]   📝[Paper]   🤗[Data]   🤗[Model]   🤗[Demo]   We introduce 🪄Lumos, Language Agents with Unified Formats, Modular Design, and Open-Source LLMs. Lumos unifies a suite of complex interactive tasks and achieves competitive performance with GPT-4/3.5-based and larger open-source agents. Lumos has following features: 🧩 Modular Architecture: 🧩 Lumos consists of planning, grounding… See the full description on the dataset page: https://huggingface.co/datasets/ai2lumos/lumos_multimodal_plan_iterative.texttext-generation10K<n<100K2 likes43 downloads3y agoHugging Face11Aratako /iterative-dpo-data-for-SimPO-iter2 iterative-dpo-data-for-SimPO-iter2 概要 合成instructionデータであるAratako/Magpie-Tanuki-Instruction-Selected-Evolved-26.5kを元に以下のような手順で作成した日本語Preferenceデータセットです。 開発途中のモデルであるAratako/Llama-Gemma-2-27b-CPO_SimPO-iter1を用いて、temperature=1で回答を5回生成 5個の回答それぞれに対して、Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8を用いて0~5点のスコア付けを実施 1つのinstructionに対する5個の回答について、最もスコアが高いものをchosenに、低いものをrejectedに配置 全て同じスコアの場合や、最も良いスコアが2点以下の場合は除外 ライセンス 本データセットは回答の作成に利用したモデルの関係で以下のライセンスの影響を受けます。 META LLAMA 3.1… See the full description on the dataset page: https://huggingface.co/datasets/Aratako/iterative-dpo-data-for-SimPO-iter2.tabulartext-generation10K<n<100K1 likes41 downloads2y agoHugging Face12FractalAIResearch /Fathom-V0.6-Iterative-Curriculum-Learningtexttext-generation1K<n<10K3 likes28 downloads1y agoHugging Face13Aratako /iterative-dpo-data-for-ORPO-iter3 iterative-dpo-data-for-ORPO-iter3 概要 合成instructionデータであるAratako/Self-Instruct-Qwen2.5-72B-Instruct-60kを元に以下のような手順で作成した日本語Preferenceデータセットです。 開発途中のモデルであるAratako/Llama-Gemma-2-27b-CPO_SimPO-iter2を用いて、temperature=1で回答を5回生成 5個の回答それぞれに対して、Qwen/Qwen2.5-72B-Instruct-GPTQ-Int8を用いて0~5点のスコア付けを実施 1つのinstructionに対する5個の回答について、最もスコアが高いものをchosenに、低いものをrejectedに配置 全て同じスコアの場合や、最も良いスコアが2点以下の場合は除外 ライセンス 本データセットは回答の作成に利用したモデルの関係で以下のライセンスの影響を受けます。 META LLAMA 3.1 COMMUNITY… See the full description on the dataset page: https://huggingface.co/datasets/Aratako/iterative-dpo-data-for-ORPO-iter3.tabulartext-generation10K<n<100K3 likes25 downloads2y agoHugging Face

Listings come live from the Hugging Face Hub API. CoolFace does not host these files.