The dataset viewer is not available for this split.
Error code: InfoError
Exception: ConnectionError
Message: Couldn't reach 'a3xrfgb/amharic-sentences-corpus' on the Hub (LocalEntryNotFoundError)
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 223, in compute_first_rows_from_streaming_response
info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
builder = load_dataset_builder(
^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1130, in load_dataset_builder
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1029, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 955, in dataset_module_factory
raise ConnectionError(f"Couldn't reach '{path}' on the Hub ({e.__class__.__name__})") from e
ConnectionError: Couldn't reach 'a3xrfgb/amharic-sentences-corpus' on the Hub (LocalEntryNotFoundError)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Amharic Sentences Corpus V1.0
Source: Telegram
This 1.6 million Amharic sentences corpus reflects current Amharic usage as of December 20, 2025, and is designed for anyone interested in:
- Training Amharic-based LLMs
- Fine-tuning NLP models
- Building search, summarization, or generative systems in Amharic
The dataset is heavily cleaned and normalized, but like any serious LLM dataset, it still needs proper tokenization for pre-training.
I recommend using an Amharic-specific tokenizer such as: https://pypi.org/project/amharic-tokenizer/0.2.6
Another useful Amharic Sentences corpus by @rasyosef & @Addis AI
How did I create this text corpus?
- I vibe coded a simple yet powerful script that creates a sentences from a .Json file that I downloaded from telegram channels. If you Want to create your own text corpus, feel free to use my script. https://github.com/a3xrfgb/HuggingFace_dataset_creator
This project is fully open-source & community-driven. If you’re building in NLP, AI research, or language technology, this is for you.
Use it. Improve it. Build on top of it.
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