Omkar2118/datasets huggingface dataset:
RichHF-18K

We collect a dataset of Rich Human Feedback on 18K images (RichHF-18K), which contains (i) point annotations on the image that highlight regions of implausibility/artifacts, and text-image misalignment; (ii) labeled words on the prompts specifying the missing or misrepresented concepts in the generated image; and (iii) four types of fine-grained scores for image plausibility, text-image alignment, aesthetics, and overall rating.

Introducing paper: Rich Human Feedback for Text-to-Image Generation
Bitcoin Historical Events Time-line 2009-2024

It includes 227 impactful events in Bitcoin history that shook the global markets. It can help evaluate Bitcoin market forecasting models in turbulent or event-full times.

Introducing paper: Market-Derived Financial Sentiment Analysis: Context-Aware Language Models for Crypto Forecasting
PreBit: Multimodal dataset for Bitcoin price

This is the dataset accompanying the paper: "PreBit - A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin"

Zou, Y., & Herremans, D. (2023). PreBit-A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin. Expert Systems with Applications, 120838.

The dataset contains tweets that have already gone through pre-processing. Tweets in a day have been concatenated to form text slices of 200 word tokens, with 50 overlapping tokens at the start of the next text slice. The date for the tweets have been added. Note for 2019, currently Jan-March tweets are missing from the dataset.

The dataset also contains the Bitcoin price we used to create the labels and the price-volume data based SVM models.

The Github repository for the project can be found here. It's currently in the process of re-organising.

Introducing paper: PreBit -- A multimodal model with Twitter FinBERT embeddings for extreme price movement prediction of Bitcoin
LeetCode-Contest

Contains 80 questions of LeetCode weekly and bi-weekly contests released after March 2024.

Each question contains an average of 644 test cases, as well as programming solutions in Python language collected from the official LeetCode website.