google-research-datasets / Synthetic-Persona-Chat
The Synthetic-Persona-Chat dataset is a synthetically generated persona-based dialogue dataset. It extends the original Persona-Chat dataset.
☆76Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for Synthetic-Persona-Chat
- Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"☆78Updated 3 months ago
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers☆122Updated 8 months ago
- Lightweight demos for finetuning LLMs. Powered by 🤗 transformers and open-source datasets.☆64Updated last month
- ☆112Updated last month
- ☆56Updated 9 months ago
- ☆36Updated 5 months ago
- Small and Efficient Mathematical Reasoning LLMs☆71Updated 9 months ago
- [ACL 2023] Few-shot Reranking for Multi-hop QA via Language Model Prompting☆27Updated last year
- distilled Self-Critique refines the outputs of a LLM with only synthetic data☆11Updated 7 months ago
- PRODIGy is a collection of dialogues in which each conversation is aligned with speaker profile representations.☆17Updated 3 months ago
- CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments☆31Updated last week
- [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners☆111Updated 2 months ago
- FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions☆40Updated 4 months ago
- Code for the arXiv paper: "LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond"☆59Updated 7 months ago
- Code accompanying "How I learned to start worrying about prompt formatting".☆95Updated last month
- Scalable Meta-Evaluation of LLMs as Evaluators☆41Updated 9 months ago
- [IJCAI 2024] FactCHD: Benchmarking Fact-Conflicting Hallucination Detection☆81Updated 6 months ago
- Scripts for generating synthetic finetuning data for reducing sycophancy.☆107Updated last year
- [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.☆141Updated last year
- ☆86Updated 5 months ago
- Resources related to EACL 2023 paper "SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domain…☆52Updated last year
- [EACL 2023] CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification☆38Updated last year
- [ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"☆49Updated 8 months ago
- 🔔🧠 Easily experiment with popular language agents across diverse reasoning/decision-making benchmarks!☆47Updated this week
- [NeurIPS 2024] Train LLMs with diverse system messages reflecting individualized preferences to generalize to unseen system messages☆37Updated last month
- Codebase accompanying the Summary of a Haystack paper.☆72Updated 2 months ago
- SCREWS: A Modular Framework for Reasoning with Revisions☆26Updated last year
- Retrieval Augmented Generation Generalized Evaluation Dataset☆51Updated this week
- The official repository of "ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models"☆43Updated last year
- Code for Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks☆47Updated 7 months ago