---
type: "post"
id: "dataset-on-huggingface-code-on-github-accepted-at-5c6cec"
slug: "dataset-on-huggingface-code-on-github-accepted-at-5c6cec"
title: "Dataset on HuggingFace , code on GitHub , accepted at EMNLP 2026."
description: "Masakhane has published the AfrIFact collection on Hugging Face."
retrieval_nugget: "Masakhane has published the AfrIFact collection on Hugging Face."
published_at: "2026-10-22"
updated_at: "2026-10-22"
record_date: "2026-10-22"
date_kind: "published_at"
topics: ["github"]
entities: ["Masakhane","AfrIFact","Hugging Face"]
related_patterns: []
novelty_label: "new_fact"
what_changed: "AfrIFact is a new multilingual African-language fact-checking benchmark and dataset, with a Hugging Face collection and an EMNLP 2026 acceptance."
prior_refs: []
source_url: "https://huggingface.co/collections/masakhane/afrifact"
source_urls: ["https://huggingface.co/collections/masakhane/afrifact"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:dataset-on-huggingface-code-on-github-accepted-at-5c6cec"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/dataset-on-huggingface-code-on-github-accepted-at-5c6cec/","markdown":"https://newruntime.com/posts/dataset-on-huggingface-code-on-github-accepted-at-5c6cec.md","json":"https://newruntime.com/posts/dataset-on-huggingface-code-on-github-accepted-at-5c6cec.json"}
---

# Dataset on HuggingFace , code on GitHub , accepted at EMNLP 2026.

## Retrieval answer

Masakhane has published the AfrIFact collection on Hugging Face.

Masakhane has published the AfrIFact collection on Hugging Face. The collection describes AfrIFact as a multilingual benchmark for information retrieval, evidence retrieval, and fact checking, with coverage oriented toward healthcare and culturally grounded content.

The collection includes an AfrIFact dataset viewer and links a paper titled “AfrIFact: Cultural Information Retrieval, Evidence Extraction and Fact Checking for African Languages.” The page lists the dataset viewer as updated on April 2 and the collection as updated on May 29.

The public collection establishes that these resources are available through Hugging Face and states their intended tasks. It does not establish the number of languages or examples, evaluation methodology, model results, a code repository, or acceptance at EMNLP 2026. Those details require evidence from the paper or an official repository.

Source: https://huggingface.co/collections/masakhane/afrifact

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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