Omkar2118/datasets huggingface dataset:
DL-HARD
Full name: Deep Learning Hard

Deep Learning Hard  (**DL-HARD**) is an annotated dataset designed to more effectively evaluate neural ranking models on complex topics. It builds on TREC Deep Learning (DL) questions extensively annotated with query intent categories, answer types, wikified entities, topic categories, and result type metadata from a leading web search engine.

DL-HARD contains 50 queries from the official 2019/2020 evaluation benchmark, half of which are newly and independently assessed. Overall, DL-HARD is a new resource that promotes research on neural ranking methods by focusing on challenging and complex queries.

Introducing paper: How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset
Flat Real World Simulink Models

This dataset contains:

(1) Slforge Generated Simulink Models : Synthetic Simulink Models

(2) Source of Real World Simulink Models

The `.txt` file is a combined text file that contains all the real world Simulink models based on SLGPT's experimental setup.

Introducing paper: SLGPT: Using Transfer Learning to Directly Generate Simulink Model Files and Find Bugs in the Simulink Toolchain