Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: ValueError
Message: not an hf path: https://huggingface.co/datasets/google/smol/resolve/main/gatitos/en_tig.jsonl
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
builder = load_dataset_builder(
path,
...<6 lines>...
**config_kwargs,
)
File "/src/services/worker/src/worker/utils.py", line 413, in safe_load_dataset_builder
resolved_data_file = resolve_hf_path(
posixpath.join(builder_kwargs["base_path"], data_file)
if is_relative_path(data_file)
else data_file
)
File "/src/services/worker/src/worker/utils.py", line 494, in resolve_hf_path
raise ValueError(f"not an hf path: {path}")
ValueError: not an hf path: https://huggingface.co/datasets/google/smol/resolve/main/gatitos/en_tig.jsonlNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Google SMOL - Tigre Parallel Corpus Pointer
This repository provides a targeted pointer to the three English-Tigre (en_tig.jsonl) subsets from Google's google/smol dataset across its gatitos, smoldoc, and smolsent tasks.
Dataset Structure
The dataset contains three separate splits mapping directly to the remote source files:
gatitos: Word/phrase-level translation pairs (gatitos/en_tig.jsonl)smoldoc: Document-level parallel text (smoldoc/en_tig.jsonl)smolsent: Sentence-level parallel text (smolsent/en_tig.jsonl)
Usage
from datasets import load_dataset
# Load all 3 splits into a DatasetDict
dataset = load_dataset("BeitTigreAI/google-smol-tigre")
# Load a specific split directly
smol_sentences = load_dataset("BeitTigreAI/google-smol-tigre", split="smolsent")
print(smol_sentences[0])
Citation
If you use this dataset pointer or reference the associated analysis, please cite:
@article{tigre_smol_eval_2026,
title={Evaluation and Architectural Analysis of Tigre Parallel Corpora in Google SMOL},
author={Ibrahim, Beshir},
journal={arXiv preprint arXiv:xxxx.xxxx},
year={2026}
}
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