Omkar2118/datasets huggingface dataset:
Wikidata5M-SI

Semi-inductive link prediction (LP) in knowledge graphs (KG) is the task of predicting facts for new, previously unseen entities based on context information. Although new entities can be integrated by retraining the model from scratch in principle, such an approach is infeasible for large-scale KGs, where retraining is expensive and new entities may arise frequently. In this paper, we propose and describe a large-scale benchmark to evaluate semi-inductive LP models. The benchmark is based on and extends Wikidata5M: It provides transductive, k-shot, and 0-shot LP tasks, each varying the available information from (i) only KG structure, to (ii) including textual mentions, and (iii) detailed descriptions of the entities. We report on a small study of recent approaches and found that semi-inductive LP performance is far from transductive performance on long-tail entities throughout all experiments. The benchmark provides a test bed for further research into integrating context and textual information in semi-inductive LP models.

Introducing paper: A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs
MGSM8KInstruct
Full name: MGSM8KInstruct

MGSM8KInstruct, the multilingual math reasoning instruction dataset, encompassing ten distinct languages, thus addressing the issue of training data scarcity in multilingual math reasoning.

Introducing paper: Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations
FedNLP
Full name: FOMC Docs and Speeches

We collect the various forms of Federal Reserve communications. 

- fomc_doc: FOMC post-meeting statements, Minutes, and press conferences. (122 docs)
- speaker_doc: FOMC members’ speeches from over 30 different websites. (1300 docs)
- period: Jan 2015 - Jul 2020

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1mTDxoI2nGzSUNl66q2RQOKtyxGijeRwp?usp=sharing)

Introducing paper: FedNLP: An interpretable NLP System to Decode Federal Reserve Communications