datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
legalbench_corporate_lobbying
LegalBenchCorporateLobbying
An MTEB dataset
Massive Text Embedding Benchmark
The dataset includes bill titles and bill summaries related to corporate lobbying.
Task category
t2t
Domains
Legal, Written
Reference
https://huggingface.co/datasets/nguha/legalbench/viewer/corporate_lobbying
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/legalbench_corporate_lobbying.mining-legal-arguments-us-corporate-case-law
Mining Legal Arguments in U.S. Corporate Case Law
This dataset contains span-level functional labels and directed support relations for 42 U.S. federal tax opinions concerning corporate reorganizations under I.R.C. Section 368. The opinions range in citation year from 1935 to 1987. Two law students annotated the cases, and a law professor adjudicated the final case-level representations. Ten cases also include the two independent annotations used for inter-annotator agreement… See the full description on the dataset page: https://huggingface.co/datasets/lbrenap1/mining-legal-arguments-us-corporate-case-law.corporateDataset
Corporate Data Analysis Training Dataset (Clean)
Dataset Description
This is a cleaned and standardized corporate analysis training dataset with consistent schema.
Schema
All entries follow the instruction-input-output format:
{
"instruction": "Task description",
"input": "Business data or context",
"output": "Analysis and insights"
}
Features
✅ Consistent Schema - All entries use the same format
✅ Clean Data - Validated and error-free
✅… See the full description on the dataset page: https://huggingface.co/datasets/MikePfunk28/corporateDataset.Corporate_AI_Datasetcorporate-governance-reasoning
Dataset Summary
The corporate-governance-reasoning dataset was designed to test a model's ability to reason about executive/board/shareholder proposals to alter companies' corporate governance structures. While there are multiple legal datasets, none are focused specifically on reasoning tasks. On the other hand, reasoning (ratiocination and ability to make connections to precedent) is a core part of the practice of the law in the real world. We focus on a specific aspect of the… See the full description on the dataset page: https://huggingface.co/datasets/LukeIrwin/corporate-governance-reasoning.corporate-site-harness-training-data
Dataset Card for Corporate Site Harness Training Data
Revision: v0.3-lora-standard
Factory git commit: ad72ba654590dd83d7070b23990b164ffae688a4
Dataset Summary
English chat-style supervised fine-tuning (SFT), preference (DPO), and held-out
evaluation data for teaching a local LLM the corporate/site harness used by
corporate-site-harness:
policy — phases, roles, workspace isolation, premium-model routing, factory vs product
cli — corp-harness argv, tool-grounded… See the full description on the dataset page: https://huggingface.co/datasets/SafetyMP/corporate-site-harness-training-data.vietnamese-corporate-legal-articles-fsm
Lexora Knowledge - Vietnamese Legal Documents
Dataset Summary
A structured Vietnamese legal knowledge base crawled from
vbpl.vn (CSDL Quốc gia về Pháp luật - Vietnam's
National Legal Database), published as 4 linked subsets: full
documents, individual articles (Điều), the citation graph between
documents/articles, and domain-concept tags. Load a specific subset
with datasets.load_dataset("anhnon/vietnamese-corporate-legal-articles-fsm", "articles") etc.
Intended… See the full description on the dataset page: https://huggingface.co/datasets/anhnon/vietnamese-corporate-legal-articles-fsm.IC38-Corporate-Agent-Questionsswahili_corporate_rag_i
Swahili Corporate RAG I
A 10K-entry Supervised Fine-Tuning (SFT) / RAG dataset in Swahili, generated using Gemini 3.5.
Designed specifically for training enterprise assistants to understand corporate context, policies, and customer service instructions in Swahili.
natural-questions-corporate-jargoncorporatespace