Omkar2118/datasets huggingface dataset:
Graphs in GML format

The dataset is described in the README file in the official repository of the paper

Introducing paper: Empirical Analysis Of Heuristic and Approximation Algorithms for the The Mutual-Visibility Problem
7-digit Product-level Supply-Use and Input-Output Tables Using ASI Data

This paper constructs 7-digit product Supply-Use Tables (SUTs) and symmetric Input-Output Tables (IOTs) for the Indian economy using microdata from the Annual Survey of Industries (ASI) for the period 2016-2021. We outline the methodology for generating input flows and reconciling registered and unregistered sector data via NPCMS-NIC concordance. The transition from SUTs to IOTs is explained using the Industry Technology Assumption. We apply this framework to analyse the economic impact—specifically Domestic Value Added (DVA) and employment influenced by production and exports. A case study of India's mobile phone sector reveals significant output growth, import substitution, an increase in exports, a shift in DVA/FVA shares, notable employment growth, with a leaning towards contractual labour, and increased female participation. These tables are valuable for analysing sectoral interdependencies and industrial policy effectiveness in India.

Introducing paper: The Anatomy of India's Industrial Interdependencies: 7-Digit Product-Level Supply-Use and Input-Output Tables from ASI Data (2016-2022) with a Case Study of the Mobile Phone Sector
GIE-Bench

GIE-Bench is a benchmark designed to evaluate text-guided image editing models across two critical dimensions:

Functional correctness — assessed via VQA-style multiple-choice questions
Content preservation — evaluated through object-aware masking and image similarity
It includes over 1,000 high-quality editing examples across 20 categories and 9 edit types, with masks, instructions, and questions.

Introducing paper: GIE-Bench: Towards Grounded Evaluation for Text-Guided Image Editing