ChenghaoMou / text-dedup
All-in-one text de-duplication
☆669Updated 11 months ago
Alternatives and similar repositories for text-dedup:
Users that are interested in text-dedup are comparing it to the libraries listed below
- Code used for sourcing and cleaning the BigScience ROOTS corpus☆309Updated 2 years ago
- ☆1,205Updated 8 months ago
- Code repository for supporting the paper "Atlas Few-shot Learning with Retrieval Augmented Language Models",(https//arxiv.org/abs/2208.03…☆533Updated last year
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning☆725Updated 2 years ago
- Generative Representational Instruction Tuning☆620Updated last month
- What's In My Big Data (WIMBD) - a toolkit for analyzing large text datasets☆218Updated 5 months ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆766Updated last year
- [EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627☆480Updated 6 months ago
- Tevatron - Unified Document Retrieval Toolkit across Scale, Language, and Modality. Demo in SIGIR 2023, SIGIR 2025.☆584Updated this week
- Tools to download and cleanup Common Crawl data☆999Updated last year
- A curated list of awesome instruction tuning datasets, models, papers and repositories.☆332Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆545Updated last year
- Collection of training data management explorations for large language models☆322Updated 8 months ago
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆555Updated last year
- ☆512Updated 5 months ago
- RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.☆435Updated 3 weeks ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆547Updated 4 months ago
- DSIR large-scale data selection framework for language model training☆246Updated last year
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆321Updated last year
- Papers and Datasets on Instruction Tuning and Following. ✨✨✨☆489Updated last year
- [ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark☆375Updated 9 months ago
- Scalable training for dense retrieval models.☆292Updated last month
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆395Updated 11 months ago
- Build Text Rerankers with Deep Language Models☆261Updated last year
- Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)☆464Updated 2 years ago
- All available datasets for Instruction Tuning of Large Language Models☆248Updated last year
- Expanding natural instructions☆995Updated last year
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆459Updated last year
- DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI☆498Updated 2 months ago
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆340Updated last year