datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
query-expansion
Query Expansion Dataset
This dataset is designed to train search query expansion models that can generate multiple semantic expansions for a given query.
Purpose
The goal of this dataset is to serve as input for training small language models (0.5B to 3B parameters) to act as query expander models in various search systems, including but not limited to Retrieval-Augmented Generation (RAG) systems.
Query expansion is a technique used to enhance search results by generating… See the full description on the dataset page: https://huggingface.co/datasets/s-emanuilov/query-expansion.luxical-query-expansion-finance
Luxical Query Expansion Financial/ESG Dataset (Preliminary)
This dataset package is designed to reproduce the experiments in this repository.
Included Files
finance_priors_v2.tsv: Mined term priors from local financial corpus.
queries_eval_finance_esg.json: 12-query weak-label benchmark set.
quality_benchmark.json: Policy quality benchmark outputs.
latency_benchmark_combined.json: Combined-policy latency benchmark.
latency_benchmark_conservative.json: Conservative-policy… See the full description on the dataset page: https://huggingface.co/datasets/oneryalcin/luxical-query-expansion-finance.ambiguous-query-expansion-datasetrag_query_expansionTopic-tagging_and_query-expansion