datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
genz-slang-dataset
Dataset Details
This dataset contains a rich collection of popular slang terms and acronyms used primarily by Generation Z. It includes detailed descriptions of each term, its context of use, and practical examples that demonstrate how the slang is used in real-life conversations.
The dataset is designed to capture the unique and evolving language patterns of GenZ, reflecting their communication style in digital spaces such as social media, text messaging, and online forums. Each… See the full description on the dataset page: https://huggingface.co/datasets/MLBtrio/genz-slang-dataset.SciCap-MLBCAP
MLBCAP: Multi-LLM Collaborative Caption Generation in Scientific Documents
📄 PaperMLBCAP has been accepted for presentation at AI4Research @ AAAI 2025. 🎉
📌 Introduction
Scientific figure captioning is a challenging task that demands contextually accurate descriptions of visual content. Existing approaches often oversimplify the task by treating it as either an image-to-text conversion or text summarization problem, leading to suboptimal results. Furthermore, commonly… See the full description on the dataset page: https://huggingface.co/datasets/TEAMREBOOTT-AI/SciCap-MLBCAP.fineweb-edu-1b
MLBricks FineWeb-Edu 1B
MLBricks curated datasetUpstream: HuggingFaceFW/fineweb-edu @ 87f09149ef4734204d70ed1d046ddc9ca3f2b8f9Source config: sample-10BTSource split: trainLicense: ODC-By 1.0
MLBricks maintains this dataset as a stable Studio preset and does not claim
ownership of the underlying source material.
Edition
Destination: MLBricks/fineweb-edu-1b
Rows: 969,429
GPT-2 tokens: 1,000,000,000
Main Studio column: text
Source-rights notice… See the full description on the dataset page: https://huggingface.co/datasets/MLBricks/fineweb-edu-1b.openwebmath-1b
MLBricks OpenWebMath 1B
MLBricks curated datasetUpstream: open-web-math/open-web-math @ fde8ef8de2300f5e778f56261843dab89f230815Source config: defaultSource split: trainLicense: ODC-By 1.0
MLBricks maintains this dataset as a stable Studio preset and does not claim
ownership of the underlying source material.
Edition
Destination: MLBricks/openwebmath-1b
Rows: 469,065
GPT-2 tokens: 1,000,000,000
Main Studio column: text
Source-rights notice… See the full description on the dataset page: https://huggingface.co/datasets/MLBricks/openwebmath-1b.ultrachat-200k
MLBricks UltraChat 200K
MLBricks normalized mirrorUpstream: HuggingFaceH4/ultrachat_200k @ 8049631c405ae6576f93f445c6b8166f76f5505aLicense: MIT
This edition adds a normalized text column for MLBricks Studio.
MLBricks does not claim ownership of the original dataset.
Train conversations: 207,865
Validation conversations: 23,110
MLB-2024-ChatML-Matchups
MLB 2024 ChatML Matchups
MLB 2024 ChatML Matchups is a compact, inspection-friendly instruction dataset derived from the public MLB Stats API for the 2024 Major League Baseball regular season. It converts structured game, offense, and pitching data into ChatML-style examples that can be used to study grounded sports reasoning, structured response generation, and retrieval-conditioned assistant behavior.
The dataset is intentionally small enough to audit directly, but structured… See the full description on the dataset page: https://huggingface.co/datasets/clarkkitchen22/MLB-2024-ChatML-Matchups.MLB-2025-ChatML-Matchups
MLB 2025 ChatML Matchups
MLB 2025 ChatML Matchups is a compact instruction-tuning dataset built from the public MLB Stats API for the 2025 Major League Baseball regular season. It converts structured game, team offense, and team pitching information into ChatML-style rows that are ready for supervised fine-tuning, retrieval-augmented evaluation, sports analytics prototypes, or prompt engineering tests.
Each row is written from one team's perspective for one completed MLB… See the full description on the dataset page: https://huggingface.co/datasets/clarkkitchen22/MLB-2025-ChatML-Matchups.MLB-2023-ChatML-Matchups
MLB 2023 ChatML Matchups
MLB 2023 ChatML Matchups is a compact, inspection-friendly instruction dataset derived from the public MLB Stats API for the 2023 Major League Baseball regular season. It converts structured game, offense, and pitching data into ChatML-style examples that can be used to study grounded sports reasoning, structured response generation, and retrieval-conditioned assistant behavior.
The dataset is intentionally small enough to audit directly, but structured… See the full description on the dataset page: https://huggingface.co/datasets/clarkkitchen22/MLB-2023-ChatML-Matchups.