datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
amharic-pretraining-corpusAmharic Pretraining Corpus is a large-scale dataset (~103M) for general amharic language pretraining tasks. It consists of diverse text sources, including news articles, books, social media posts, government documents, and web content, all written in Amharic.
You can load the dataset as follows
from datasets import load_dataset
ds = load_dataset("yordanoswuletaw/amharic-pretraining-corpus")
AddisGPT-Amharic-Instruction
AddisGPT-Amharic-Instruction
A human-verified, fully conversational Amharic instruction-tuning dataset sourced entirely from real AddisGPT user interactions.
796 curated instruction–output pairs spanning 14 topics, drawn exclusively from anonymized conversations with AddisGPT — an Amharic-first AI assistant serving Ethiopian and diaspora communities. Every pair is an organic user question paired with the assistant's response; there is no synthetic, templated, or third-party… See the full description on the dataset page: https://huggingface.co/datasets/AddisGPT/AddisGPT-Amharic-Instruction.amharic-sft-mixed-cot-2026
Amharic SFT Combined with CoT (2026)
📊 Dataset Overview
This dataset contains over 1.5 million high-quality conversational samples designed for Supervised Fine-Tuning (SFT) of Amharic Large Language Models. It includes Chain-of-Thought (CoT) reasoning to improve the logical deduction capabilities of the models in Amharic.
Total Rows (Raw): ~1.68 Million
Validated Samples: 1,524,808
Total File Size: 2.15 GB
Total Tokens: ~1.31 Billion
📝 Prompt… See the full description on the dataset page: https://huggingface.co/datasets/abdukuzi45/amharic-sft-mixed-cot-2026.wikipedia-amharic
Wikipedia Amharic (አማርኛ ዊኪፒዲያ)
High-Quality Amharic Wikipedia Translations
Translated by Addis AI - Aleph (፩)
Dataset Description
This dataset contains Wikipedia articles professionally translated from English to Amharic (አማርኛ) using Addis AI - Aleph (፩), a state-of-the-art translation model specifically optimized for Ethiopian languages. This represents one of the largest and highest-quality Amharic knowledge bases available, providing… See the full description on the dataset page: https://huggingface.co/datasets/addisai/wikipedia-amharic.FineTome-single-turn-dedup-amharic
Dataset Card for FineTome Single Turn Conversations - Amharic
This dataset contains 83,290 conversational examples translated from English to Amharic, providing high-quality instruction-following conversations for training language models in Amharic.
Dataset Details
Dataset Description
This dataset is a translation of the FineTome-single-turn-dedup dataset into Amharic, creating one of the largest publicly available collection of… See the full description on the dataset page: https://huggingface.co/datasets/addisai/FineTome-single-turn-dedup-amharic.amharic_dataset_v2kakugo-amh
Kakugo Amharic dataset
[Paper] [Code] [Model]
A synthetically generated conversation dataset for training in Amharic.
This dataset contains synthetic conversational data and translated instructions designed to train Small Language Models (SLMs) for Amharic. It was generated using the Kakugo pipeline, a method for distilling high-quality capabilities from a large teacher model into low-resource language models. The teacher model used to generate this dataset was… See the full description on the dataset page: https://huggingface.co/datasets/ptrdvn/kakugo-amh.Amharic_dataset
Amharic Articles Dataset
Dataset Description
This dataset comprises news articles in Amharic.
Dataset Details
Language: Amharic
Time Coverage: Primarily December 2020 and January 2021 (Ethiopian Calendar: Tahisas 2013 and Tir 2013)
Data Format: Each entry is a text line within a .txt text corpus.
Potential Uses
This dataset can be used for various purposes:
Pretraining Amharic Language Models: The dataset can be used for pretraining new… See the full description on the dataset page: https://huggingface.co/datasets/amanuelbyte/Amharic_dataset.Amharic_StoriesAmharic_corpus_split
Amharic Corpus — 4 x 5k Splits
A randomly shuffled subset of Reubencf/Amharic_corpus,
divided into four equal splits of 5,000 rows each (20,000 rows total).
Splits: split_1, split_2, split_3, split_4 (5,000 rows each)
Format: JSON Lines, one {"text": "..."} per line.
Sampling: random without replacement (seed 42); the four splits are mutually exclusive.
from datasets import load_dataset
ds = load_dataset("Reubencf/Amharic_corpus_split")
print(ds) # split_1..split_4, 5000 rows… See the full description on the dataset page: https://huggingface.co/datasets/Reubencf/Amharic_corpus_split.amharic-bible
Amharic Bible Corpus Dataset
This is an open Protestant Amharic Bible corpus dataset for LLM pretraining and NLP research.
Dataset Description
This dataset contains the complete Amharic Bible text, formatted for language model pretraining. Each entry is a single Bible verse with its reference in the format: Book Chapter:Verse Verse text.
Features
text: Complete verse text with book, chapter, and verse reference
Format: Book Chapter:Verse Verse text… See the full description on the dataset page: https://huggingface.co/datasets/NaolBM/amharic-bible.Code-170k-amharic
Dataset Description
Code-170k-amharic is a groundbreaking dataset containing 176,999 programming conversations, originally sourced from glaiveai/glaive-code-assistant-v2 and translated into Amharic, making coding education accessible to Amharic speakers.
🌟 Key Features
176,999 high-quality conversations about programming and coding
Pure Amharic language - democratizing coding education
Multi-turn dialogues covering various programming concepts
Diverse topics: algorithms… See the full description on the dataset page: https://huggingface.co/datasets/michsethowusu/Code-170k-amharic.Amharic_news_Normalized
Dataset Name
Amharic news dataset
Dataset Details
It is a non-normalized version of news dataset crawled from Amharic news websites and from researchers provided in their works.
Dataset Description
The dataset is collected from different news websites and from different researchers crawled Amharic news dataset from different NLP downstream tasks.
News sites like FanaBC, EthiopianReporter, Zehabesha,Esat Amharic, BBC Amharic
are the sources for these news data.… See the full description on the dataset page: https://huggingface.co/datasets/userdavek/Amharic_news_Normalized.Amharic_corpus
Amharic Corpus (JSON)
Amharic text corpus, 707,649 rows, one document per row.
Format: JSON Lines (amh_data.jsonl) — one {"text": "..."} object per line.
Column: text (string)
Language: Amharic (am)
License: MIT
Originally distributed as a plain-text file; here it is provided as line-delimited JSON.
Usage
from datasets import load_dataset
ds = load_dataset("Reubencf/Amharic_corpus")
print(ds["train"][0]["text"])
amharic-llm-training-data
Amharic LLM Training Dataset
Complete production-ready Amharic dataset for large language model training and deployment.
🚀 Quick Start for Deployment
from datasets import load_dataset
# Load the complete dataset
dataset = load_dataset("YoseAli/amharic-llm-training-data")
# Access splits
train_data = dataset["train"] # 761,501 samples
test_data = dataset["test"] # 84,612 samples
print(f"Training samples: {len(train_data):,}")
print(f"Test samples: {len(test_data):… See the full description on the dataset page: https://huggingface.co/datasets/YoseAli/amharic-llm-training-data.Roleplay-Amharic
RolePlay-Amharic
Roleplay-Amharic Dataset is a dataset for roleplaying in the Amharic language for Large Language Model.
The base dataset is GPTeacher role play dataset by teknium 1, which can be found under this link, released under MIT License. The dataset is then translated into respective languages. The translation process is powered by Google Translate, using cloud translation API.
For more information and other language datasets for roleplay, it can be found at this github… See the full description on the dataset page: https://huggingface.co/datasets/jojo-ai-mst/Roleplay-Amharic.GaussianVLM_results
Dataset Card for GaussianVLM Evaluation Results
This dataset contains the evaluation outputs GaussianVLM, as presented in the paper: "GaussianVLM: Scene-centric 3D Vision-Language Models using Language-aligned Gaussian Splats for Embodied Reasoning and Beyond".
Summary
This dataset includes the raw prediction files for GaussianVLM and reproduced baselines across seven key 3D and Embodied AI benchmarks. GaussianVLM leverages 3D Gaussian Splatting (3D-GS) to provide… See the full description on the dataset page: https://huggingface.co/datasets/amhalacheva/GaussianVLM_results.my-distiset-04a31e85
Dataset Card for my-distiset-04a31e85
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/amhmd/my-distiset-04a31e85/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/amhmd/my-distiset-04a31e85.my-distiset-92b9d8ae
Dataset Card for my-distiset-92b9d8ae
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/amhmd/my-distiset-92b9d8ae/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/amhmd/my-distiset-92b9d8ae.