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ddro

kiyam /ddro-nq-dataset DDRO — NQ320K Processed Dataset This dataset contains the preprocessed Natural Questions (NQ320K) corpus used to train and evaluate the DDRO generative retrieval models from: 📄 Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval (SIGIR 2025) The raw NQ data (from Google) is processed into a unified format with document text, queries, and relevance annotations, ready for use in generative retrieval training pipelines. Files… See the full description on the dataset page: https://huggingface.co/datasets/kiyam/ddro-nq-dataset.text-retrieval100K<n<1M0 likes48 downloads4mo agoHugging Facekiyam /ddro-docids 📄 ddro-docids This repository provides the generated document IDs (DocIDs) used for training and evaluating the DDRO (Direct Document Relevance Optimization) models. Two types of DocIDs are included: PQ (Product Quantization) DocIDs: Compact semantic representations based on quantized document embeddings. TU (Title + URL) DocIDs: Tokenized document identifiers constructed from document titles and/or URLs. 📚 Contents pq_msmarco_docids.txt: PQ DocIDs for MS… See the full description on the dataset page: https://huggingface.co/datasets/kiyam/ddro-docids.text100K<n<1M0 likes34 downloads4mo agoHugging Facekiyam /ddro-msmarco-doc-dataset-300k DDRO — MS MARCO Top-300K Processed Dataset This dataset contains the preprocessed MS MARCO Top-300K document corpus used to train and evaluate the DDRO generative retrieval models from: Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval (SIGIR 2025) Files File Description Size msmarco-docs-sents.top.300k.json Top-300K documents selected by click frequency, with sentence tokenization (JSONL format) ~2 GB… See the full description on the dataset page: https://huggingface.co/datasets/kiyam/ddro-msmarco-doc-dataset-300k.texttext-retrieval100K<n<1M0 likes31 downloads4mo agoHugging Facekiyam /ddro-testsetstext1K<n<10K0 likes31 downloads11mo agoHugging Facekiyam /ddro-pseudo-queries 📄 ddro-pseudo-queries This repository contains the generated pseudo queries used for training the DDRO (Direct Document Relevance Optimization) models.The pseudo queries were created following the DocTTTTTQuery approach to expand the training data for generative document retrieval. 📚 Contents pseudo_queries_msmarco.txt: Pseudo queries for the MS MARCO (MS300K) dataset. pseudo_queries_nq.txt: Pseudo queries for the Natural Questions (NQ320K) dataset. Each file maps… See the full description on the dataset page: https://huggingface.co/datasets/kiyam/ddro-pseudo-queries.text10M<n<100M0 likes19 downloads1y agoHugging Facealexia-allal /nq_ddro_reproduction_with_genir_datasetstext100K<n<1M0 likes9 downloads7mo agoHugging Face