datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gdp_pdf_aboard_aligned_5000
GDP-PDF A-board-aligned 5K
This gated dataset contains 5,000 Harbor-format professional document-reasoning tasks built from 5,000 unique public-sector PDFs across ten professional domains.
Contents
dataset/: Harbor task_XXXXX packages and index.json.
sources/summary.json: conversion records and validation results.
All 5,000 native packages and all 5,000 Harbor tasks passed the project validators. The task set contains 1,382 simple, 2,008 standard, and 1,610… See the full description on the dataset page: https://huggingface.co/datasets/zealwwww/gdp_pdf_aboard_aligned_5000.multifactor_hotpotqa_suppfacts
MultiFactor-HotpotQA-SuppFacts
The MultiFactor datasets -- HotpotQA-Supporting Facts part in EMNLP 2023 Findings: Improving Question Generation with Multi-level Content Planning.
1. Dataset Details
1.1 Dataset Description
Supporting Facts setting on HotpotQA dataset [1] in EMNLP 2023 Findings: Improving Question Generation with Multi-level Content Planning.
Based on the dataset provided in CQG [2], we add the p_hrase, n_phrase and full answer attributes for… See the full description on the dataset page: https://huggingface.co/datasets/zeaver/multifactor_hotpotqa_suppfacts.multifactor_squad1.1_zhou
MultiFactor-HotpotQA-SuppFacts
The MultiFactor datasets -- SQuAD1.1-Zhou Split [1] in EMNLP 2023 Findings: Improving Question Generation with Multi-level Content Planning.
1. Dataset Details
1.1 Dataset Description
SQuAD1.1-Zhou Split [1, 2] in EMNLP 2023 Findings: Improving Question Generation with Multi-level Content Planning.
Based on the dataset in [2], we add the p_hrase, n_phrase and full answer attributes for every dataset instance.
The full answer… See the full description on the dataset page: https://huggingface.co/datasets/zeaver/multifactor_squad1.1_zhou.