google-research-datasets / Synthetic-Persona-ChatLinks
The Synthetic-Persona-Chat dataset is a synthetically generated persona-based dialogue dataset. It extends the original Persona-Chat dataset.
☆104Updated last year
Alternatives and similar repositories for Synthetic-Persona-Chat
Users that are interested in Synthetic-Persona-Chat are comparing it to the libraries listed below
Sorting:
- ☆53Updated last year
- Code and Data for "Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering"☆86Updated last year
- ☆129Updated last year
- NAACL 2024. Code & Dataset for "🌁 Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistake…☆44Updated last year
- [Data + code] ExpertQA : Expert-Curated Questions and Attributed Answers☆135Updated 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`.☆155Updated 2 years ago
- Scripts for generating synthetic finetuning data for reducing sycophancy.☆117Updated 2 years ago
- ☆100Updated last year
- Code accompanying "How I learned to start worrying about prompt formatting".☆110Updated 5 months ago
- A set of utilities for running few-shot prompting experiments on large-language models☆126Updated 2 years ago
- Source code of the paper: RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering [F…☆69Updated last year
- [NeurIPS 2023] Codebase for the paper: "Guiding Large Language Models with Directional Stimulus Prompting"☆112Updated 2 years ago
- PRODIGy is a collection of dialogues in which each conversation is aligned with speaker profile representations.☆19Updated 10 months ago
- Code repo for "Agent Instructs Large Language Models to be General Zero-Shot Reasoners"☆116Updated last month
- Codebase for LLM story generation; updated version of https//github.com/yangkevin2/doc-story-generation☆86Updated last year
- Reverse Instructions to generate instruction tuning data with corpus examples☆216Updated last year
- ☆58Updated last year
- Implementation of the paper: "Answering Questions by Meta-Reasoning over Multiple Chains of Thought"☆96Updated last year
- ☆74Updated last year
- Lightweight demos for finetuning LLMs. Powered by 🤗 transformers and open-source datasets.☆78Updated last year
- ☆156Updated last year
- [EMNLP 2024] A Retrieval Benchmark for Scientific Literature Search☆101Updated 11 months ago
- ☆68Updated 2 years ago
- [ICLR 2024 & NeurIPS 2023 WS] An Evaluator LM that is open-source, offers reproducible evaluation, and inexpensive to use. Specifically d…☆307Updated 2 years ago
- Dense X Retrieval: What Retrieval Granularity Should We Use?☆165Updated last year
- [ICLR 2024 Spotlight] FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets☆218Updated last year
- Fact-Checking the Output of Generative Large Language Models in both Annotation and Evaluation.☆109Updated last year
- Codes and Datasets for our ACL 2023 paper on cognitive reframing of negative thoughts☆65Updated 2 years ago
- Codebase accompanying the Summary of a Haystack paper.☆79Updated last year
- Code for Arxiv 2023: Improving Language Model Negociation with Self-Play and In-Context Learning from AI Feedback☆207Updated 2 years ago