datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
earnings-calls-qa
Lamini Earning Calls QA Dataset
Description
This dataset contains transcripts of earning calls for various companies, along with questions and answers related to the companies' financial performance and other relevant topics.
Format
The transcripts, questions, and answers are in the form of jsonlines files, with each json object in the file containing the transcript of an earning call for a single company.
Data Pipeline Code
The entire data pipeline… See the full description on the dataset page: https://huggingface.co/datasets/lamini/earnings-calls-qa.LaMP-QA
LaMP-QA Dataset
Abstract
Personalization is essential for question answering systems that are user-centric. Despite its importance, personalization in answer generation has been relatively underexplored. This is mainly due to lack of resources for training and evaluating personalized question answering systems. We address this gap by introducing LaMP-QA---a benchmark designed for evaluating personalized long-form answer generation. The benchmark covers questions from… See the full description on the dataset page: https://huggingface.co/datasets/alireza7/LaMP-QA.lambda-hermes-agent-reasoning-opentraces
lambda-hermes-agent-reasoning-opentraces
Community-contributed agent traces in opentraces JSONL format.
Usage
from datasets import load_dataset
ds = load_dataset("OpenTraces/lambda-hermes-agent-reasoning-opentraces")
Schema
Each JSONL line is a TraceRecord containing:
trace_id: Unique identifier for the trace
session_id: Source session identifier
agent: Agent identity (name, version, model)
task: Structured task metadata
steps: List of… See the full description on the dataset page: https://huggingface.co/datasets/OpenTraces/lambda-hermes-agent-reasoning-opentraces.LAMP
LAMP Dataset
arXiv | Webpage | Code | Model Weights
This dataset accompanies the CVPR 2026 paper LAMP: Language-Assisted Motion Planning. For complete instructions on the overall framework, model inference, and environment setup, please refer to Code.
Dataset Overview
The dataset consists of a single JSON file containing 200,000 training entries. It is formatted as a conversational exchange between a user (human) and the model (gpt) to facilitate… See the full description on the dataset page: https://huggingface.co/datasets/burakkizil/LAMP.human-ai-impact-bench-scenarios
HumanAI-Impact-Bench — Scenarios
Bilingual (English / Vietnamese) scenario set for evaluating how conversational
AI systems affect human emotion, autonomy, cognition, trust, and social
connection. Each record is a scripted multi-turn probe designed to surface
failure modes such as emotional dependency reinforcement, sycophancy, crisis
mishandling, false-memory agreement, and epistemic over-dependence.
Code / tooling: https://github.com/lamduong0/human-ai-impact-bench
License:… See the full description on the dataset page: https://huggingface.co/datasets/lamduong/human-ai-impact-bench-scenarios.product-catalog-questions
Lamini Product Catalog QA Dataset
Description
This dataset contains questions about products and their corresonding product information like product id, product name, product description, etc. This questions catalog has been built on top of open-source product catalog from kaggle.
Format
The questions and product information are in the form of jsonlines file.
Data Pipeline Code
The entire data pipeline used to create this dataset is open source at:… See the full description on the dataset page: https://huggingface.co/datasets/lamini/product-catalog-questions.lamba-turkish-sft
Lamba Turkish SFT Dataset
This is a Turkish Supervised Fine-Tuning (SFT) dataset. The topic distribution is largely aligned with the Turkish High School (Lise) curriculum.
It contains a wide variety of examples designed to improve model capabilities in:
Instruction following
Summarization (Özetleme)
Information extraction (Bilgi çıkarma)
General problem solving
I hope this dataset will be beneficial to the open-source and AI community.
Disclaimer
Since the vast… See the full description on the dataset page: https://huggingface.co/datasets/cturan/lamba-turkish-sft.cve-single-line-fixes
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/lambdasec/cve-single-line-fixes.cx-lam-trajectories
CX LAM Trajectories
This project is a fully local, real-world Large Action Model (LAM) for customer experience (CX) and CRM workflows. Built on a fine-tuned Qwen2.5-3B-Instruct-4bit (via MLX + LoRA on Apple Silicon), it generates and executes structured sequences of CRM tool calls—primarily crm.screenpop, crm.create_case, and crm.log_call—directly against a live browser-based CRM UI using Playwright. Unlike mock or simulated systems, every action occurs in the real rendered DOM.… See the full description on the dataset page: https://huggingface.co/datasets/chendren/cx-lam-trajectories.post-cutoff-2024-2026-bundles
post-cutoff-2024-2026-bundles
12 research briefings (53,685 words / ~70K tokens) covering events from April 2024 through May 2026. Built as source material for context-distillation SFT of a pre-April-2024 base model, and usable directly as a small CPT-style corpus.
Format
{
"text": "<full markdown bundle>",
"topic": "ai_ml_2024_2026",
"word_count": 4950,
"char_count": 37474
}
Each bundle is markdown with ###-level entries (typically 10–18 entries per bundle)… See the full description on the dataset page: https://huggingface.co/datasets/Lambent/post-cutoff-2024-2026-bundles.CASS-17-01-2025
French Court of Cassation Decisions Dataset (CASS)
Dataset Description
The French Court of Cassation Decisions Dataset (CASS) is a comprehensive collection of judicial decisions from the French Court of Cassation (Cour de cassation), France's highest court for civil and criminal matters. This dataset contains decisions that represent the most authoritative interpretations of French law, providing an invaluable resource for legal research, analysis, and machine learning… See the full description on the dataset page: https://huggingface.co/datasets/La-Mousse/CASS-17-01-2025.LaMP-QA
LaMP-QA Dataset
Abstract
Personalization is essential for question answering systems that are user-centric. Despite its importance, personalization in answer generation has been relatively underexplored. This is mainly due to lack of resources for training and evaluating personalized question answering systems. We address this gap by introducing LaMP-QA---a benchmark designed for evaluating personalized long-form answer generation. The benchmark covers questions… See the full description on the dataset page: https://huggingface.co/datasets/yuhongzhao/LaMP-QA.lambada-context
Dataset Summary
This is the LAMBADA test split modified for bidirectional language models (for example BERT). The original is appended by punctuation symbols (for example ."), as predicted by GPT-2 (small). The original is the LAMBADA test split as pre-processed by OpenAI,
LAMBADA is used to evaluate the capabilities of computational models for text understanding by means of a word prediction task. LAMBADA is a collection of narrative texts sharing the characteristic that human… See the full description on the dataset page: https://huggingface.co/datasets/ltg/lambada-context.gh-top-1000-projects-vulns
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/lambdasec/gh-top-1000-projects-vulns.JADE-17-01-2025
French Administrative Court Decisions Dataset (JADE)
Dataset Description
The French Administrative Court Decisions Dataset (JADE) is a comprehensive collection of judicial decisions from French administrative courts. This dataset contains decisions from various administrative jurisdictions, providing a valuable resource for legal research, analysis, and machine learning applications in the legal domain.
Source Data
The data is sourced from the official DILA… See the full description on the dataset page: https://huggingface.co/datasets/La-Mousse/JADE-17-01-2025.INCA-17-01-2025
French Court Decisions Dataset (INCA)
Dataset Description
The French Court Decisions Dataset (INCA) is a comprehensive collection of judicial decisions from various French courts. This dataset contains decisions from multiple jurisdictions, providing a broad perspective on French jurisprudence and representing an essential resource for legal research, analysis, and machine learning applications in the French legal domain.
Source Data
The data is sourced from… See the full description on the dataset page: https://huggingface.co/datasets/La-Mousse/INCA-17-01-2025.post-cutoff-2024-2026-sft
post-cutoff-2024-2026-sft
An SFT dataset of 2,348 (prompt, response) pairs covering events from April 2024 through May 2026 — built to bring a pre-April-2024 base model up to date on post-cutoff world events via supervised finetuning.
Originally built for Lambent/Arsenic-Shahrazad-12B-v3 (a Mistral-Nemo-derived 12B with an April 2024 training cutoff), but applicable to any pre-April-2024 model.
Format
Each row is a two-turn conversation in HF messages format:
{… See the full description on the dataset page: https://huggingface.co/datasets/Lambent/post-cutoff-2024-2026-sft.CAPP-17-01-2025
French Court of Appeal Decisions Dataset (CAPP)
Dataset Description
The French Court of Appeal Decisions Dataset (CAPP) is a comprehensive collection of judicial decisions from French Courts of Appeal. This dataset contains appellate court decisions from various jurisdictions throughout France, providing a valuable resource for legal research, analysis, and machine learning applications in the French legal domain.
Source Data
The data is sourced from the… See the full description on the dataset page: https://huggingface.co/datasets/La-Mousse/CAPP-17-01-2025.CNIL-18-01-2025
French National Commission on Informatics and Liberty (CNIL) Dataset
Dataset Description
The CNIL Dataset is a curated collection of documents from the French National Commission on Informatics and Liberty (CNIL). This dataset provides detailed records of decisions and deliberations made by CNIL, which governs data privacy and personal data regulation in France. It serves as a rich resource for researchers, legal practitioners, and machine learning engineers interested in… See the full description on the dataset page: https://huggingface.co/datasets/La-Mousse/CNIL-18-01-2025.hu-collocation-lambada
hu-collocation-lambada
Dataset Summary
This dataset is a Hungarian benchmark designed to evaluate large language models' understanding of contextual collocations and definitions. It is inspired by the LAMBADA task and constructed using the full content of the Magyar szókapcsolatok, kollokációk adatbázisa (Temesi, ed.).
Each data point contains:
a target collocation from the original dataset,
its dictionary-style definition,
and a short narrative ending just before the… See the full description on the dataset page: https://huggingface.co/datasets/graphium-company/hu-collocation-lambada.