Sign inGet started
Dataset · Hugging Face

epiq-ai-labs/corporatebench

CorporateBench Datasets for CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases (Findings of EMNLP 2026). Paper (arXiv) · Evaluation code (GitHub) · Website/Dataset Viewer CorporateBench evaluates information extraction, retrieval, and question answering. It uses document collections from four synthetic companies. These collections contain between 353 and 232,692 documents. This repository contains the datasets. The evaluation code and instructions are… See the full description on the dataset page: https://huggingface.co/datasets/epiq-ai-labs/corporatebench.

Author / organizationepiq-ai-labs
License (as declared)apache-2.0
Downloads564 (as reported by Hugging Face)
Likes0
Created27 August 2026
Last updated at source14 October 2026
benchmarksynthetictemporal-reasoningknowledge-graphs
Embed this entry
<iframe src="https://silytics.si/embed/item/9b405f68-30ca-42fc-8ee6-ef32aabefba2" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

564 now (+242 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Related papers

More from epiq-ai-labs

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.