Omkar2118/datasets huggingface dataset:
LOL-v2
Full name: LOL-v2-real

LOL-v2-real contains 689 low-/normal-light image pairs for training and 100 pairs for testing.

Introducing paper: From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement
DAS-2

The DAS-2 traces were kindly provided by the Advanced School for Computing and Imaging (ASCI), the owner of the DAS-2 system. To use these traces, you must include an acknowledgement to the source of the data in any published material that refers to the data. Please also consider refering to the Grid Workloads Archive in the acknowledgements.
FIREBALL
Full name: FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information

Dungeons & Dragons (D&D) is a tabletop roleplaying game with complex natural language interactions between players and hidden state information. Recent work has shown that large language models (LLMs) that have access to state information can generate higher quality game turns than LLMs that use dialog history alone. However, previous work used game state information that was heuristically created and was not a true gold standard game state. We present FIREBALL, a large dataset containing nearly 25,000 unique sessions from real D&D gameplay on Discord with true game state info. We recorded game play sessions of players who used the Avrae bot, which was developed to aid people in playing D&D online, capturing language, game commands and underlying game state information. We demonstrate that FIREBALL can improve natural language generation (NLG) by using Avrae state information, improving both automated metrics and human judgments of quality. Additionally, we show that LLMs can generate executable Avrae commands, particularly after finetuning.

Introducing paper: FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information
Open-Platypus

**Open-Platypus** is a family of fine-tuned and merged Large Language Models (LLMs) that achieves the strongest performance and currently stands at first place in HuggingFace's Open LLM Leaderboard.

Introducing paper: Platypus: Quick, Cheap, and Powerful Refinement of LLMs