google-research-datasets / seahorseLinks
Seahorse is a dataset for multilingual, multi-faceted summarization evaluation. It consists of 96K summaries with human ratings along 6 quality dimensions: comprehensibility, repetition, grammar, attribution, main idea(s), and conciseness, covering 6 languages, 9 systems and 4 datasets.
☆89Updated last year
Alternatives and similar repositories for seahorse
Users that are interested in seahorse are comparing it to the libraries listed below
Sorting:
- Open source library for few shot NLP☆79Updated 2 years ago
- Apps built using Inspired Cognition's Critique.☆58Updated 2 years ago
- Plug-and-play Search Interfaces with Pyserini and Hugging Face☆32Updated 2 years ago
- Repo for training MLMs, CLMs, or T5-type models on the OLM pretraining data, but it should work with any hugging face text dataset.☆93Updated 2 years ago
- The official code repo for "Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations".☆83Updated last year
- AuditNLG: Auditing Generative AI Language Modeling for Trustworthiness☆102Updated 7 months ago
- SPRINT Toolkit helps you evaluate diverse neural sparse models easily using a single click on any IR dataset.☆47Updated 2 years ago
- SWIM-IR is a Synthetic Wikipedia-based Multilingual Information Retrieval training set with 28 million query-passage pairs spanning 33 la…☆49Updated last year
- Helper scripts and notes that were used while porting various nlp models☆47Updated 3 years ago
- QAmeleon introduces synthetic multilingual QA data using PaLM, a 540B large language model. This dataset was generated by prompt tuning P…☆34Updated 2 years ago
- ☆101Updated 2 years ago
- ☆86Updated 4 months ago
- Semantically Structured Sentence Embeddings☆67Updated 10 months ago
- Experiments with generating opensource language model assistants☆97Updated 2 years ago
- ☆183Updated 2 years ago
- Pipeline for pulling and processing online language model pretraining data from the web☆177Updated 2 years ago
- Corresponding code repo for the paper at COLING 2020 - ARGMIN 2020: "DebateSum: A large-scale argument mining and summarization dataset"☆55Updated 3 years ago
- Annotation meets Large Language Models (ChatGPT, GPT-3 and alike).☆58Updated 2 years ago
- Embedding Recycling for Language models☆39Updated 2 years ago
- ☆44Updated 9 months ago
- ☆54Updated 2 years ago
- Official code and model checkpoints for our EMNLP 2022 paper "RankGen - Improving Text Generation with Large Ranking Models" (https://arx…☆137Updated 2 years ago
- 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.☆82Updated 3 years ago
- ☆49Updated last year
- SQuARE: Software for question answering research.☆75Updated last year
- ☆72Updated 2 years ago
- No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval☆29Updated 2 years ago
- Using short models to classify long texts☆21Updated 2 years ago
- A question-answering dataset with a focus on subjective information☆45Updated last year
- Code for Relevance-guided Supervision for OpenQA with ColBERT (TACL'21)☆41Updated 4 years ago