datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
xlam-function-calling-60k_langchainReformatted dataset from "Salesforce/xlam-function-calling-60k" (from Hugging Face) for the purposes of fine tuning LLMs for tool calling for the LangChain and LangGraph frameworks
license: mit
langchain-docsLLM_Math
Description of LLM Math
Prompt designed to optionally output iPython syntax to be run in order to better answer math questions.
Inputs
This is a description of the inputs that the prompt expects.
question: User question to be answered.
Usage
Below is a code snippet for how to use the prompt.
from langchain.prompts import load_prompt
from langchain.chains import LLMMathChain
llm = ...
prompt = load_prompt('lc://prompts/llm_math/<file-name>')
chain =… See the full description on the dataset page: https://huggingface.co/datasets/LangChainHub-Prompts/LLM_Math.question-answering-state-of-the-unionquestion-answering-paul-grahamLLM_Bash
Description of LLM Bash
Prompt designed to convert natural language to bash command.
Inputs
This is a description of the inputs that the prompt expects.
question: User question to be answered by writing a bash command.
Usage
Below is a code snippet for how to use the prompt.
from langchain.prompts import load_prompt
from langchain.chains import LLMBashChain
llm = ...
prompt = load_prompt('lc://prompts/llm_bash/<file-name>')
chain = LLMBashChain(llm=llm… See the full description on the dataset page: https://huggingface.co/datasets/LangChainHub-Prompts/LLM_Bash.sql-qa-chinookllm-mathlangchain-docs-400-chunksizeQA_Refine
Description of QA Refine
Prompts designed to be used to refine original answers during question answering chains using the refine method.
Inputs
This is a description of the inputs that the prompt expects.
question: Original question to be answered.
existing_answer: Existing answer from previous documents.
context_str: New piece of context to use to refine the existing answer.
Usage
Below is a code snippet for how to use the prompt.
from langchain.prompts… See the full description on the dataset page: https://huggingface.co/datasets/LangChainHub-Prompts/QA_Refine.langchain-MRKL-finetunelangchain-additional-resourcesagent-search-calculatorlangchain-docs-23-06-27openapi-chain-klarna-products-getxlam-function-calling-60k_langchain_langgraphlangchain_tutorialagent-vectordb-qa-sota-pglangchain-docs-testlangchain-docslangchain-docslangchaing-docs-chatgpt-pluginlangchain-issues
Dataset Card for LangChain Issues
Dataset Summary
LangChain Issues is a dataset consisting of LangChain issues and pull requests associated with the LangChain repository (https://github.com/langchain-ai/langchain).
It is intended for educational purposes and can be used for semantic search or multilabel text classification.
The contents of each LangChain issue are in English and concern the domain of datasets for NLP, computer vision, and beyond.
Welcome_to_LangChainlangchain-docslangchain_docslangchain-documentationlangchain_hub_testlangchain-docslangchain-docs-modules