datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Rasaif-Classical-Arabic-English-Parallel-texts
Introduction
This dataset represents a curated collection of parallel Arabic-English texts, featuring the translations of 24 historically and culturally significant books. These texts provide a portal to the intellectual and literary heritage of the Arabic-speaking world during its classical period.
Content Details
Contained within this dataset are English translations of the following texts, sourced from the Rasaif website:
A Muslim Manual of War
Al-Hanin Ila'l-Awtan… See the full description on the dataset page: https://huggingface.co/datasets/ImruQays/Rasaif-Classical-Arabic-English-Parallel-texts.nava-rasa-myanmar-corpus
Nava-Rasa Myanmar Corpus
The Nava-Rasa Myanmar Corpus is a structurally curated, single-label text classification dataset designed for computational linguistics and sentiment analysis in the Myanmar (Burmese) language. Built upon the foundation of classical Indian poetics (Alanka) and long-standing Burmese literary theory, this corpus frames textual sentiment analysis through the Navarasa (The Nine Literary Aesthetics/Emotions).
Unlike conventional social media sentiment sets… See the full description on the dataset page: https://huggingface.co/datasets/DatarrX/nava-rasa-myanmar-corpus.rasa-reasoningSamples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: rasa
Data Source Link: https://rasa.com/docs/
Data Source License: https://github.com/RasaHQ/rasa/blob/3.6.x/LICENSE.txt
Data Source Authors: Rasa Technologies Inc
AI Benchmarks by Data Agents. 2025 RELAI.AI. Licensed under CC BY 4.0. Source: https://relai.ai
rasa-standardSamples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: rasa
Data Source Link: https://rasa.com/docs/
Data Source License: https://github.com/RasaHQ/rasa/blob/3.6.x/LICENSE.txt
Data Source Authors: Rasa Technologies Inc
AI Benchmarks by Data Agents. 2025 RELAI.AI. Licensed under CC BY 4.0. Source: https://relai.ai
AnthropicInterviewer
Anthropic Interviewer
A tool for conducting AI-powered qualitative research interviews at scale. In this study, we used Anthropic Interviewer to explore how 1,250 professionals integrate AI into their work and how they feel about its role in their future.
Associated Research: Introducing Anthropic Interviewer: What 1,250 professionals told us about working with AI
Dataset
This repository contains interview transcripts from 1,250 professionals:
General Workforce (N=1… See the full description on the dataset page: https://huggingface.co/datasets/RASavadry/AnthropicInterviewer.diversevul_binary