impo
Nemotron-Cascade-14B-Thinking-impotent-heresy-i1-GGUFgpt-oss-20b-impotent-heresy-i1-GGUFGLM-4.7-Flash-impotent-heresy-i1-GGUFBlossom-V6.3-30B-A3B-impotent-heresy-i1-GGUFOlmo-3.1-32B-Instruct-impotent-heresy-i1-GGUFGLM-4.7-Flash-impotent-heresy-GGUFno-shuffle-gpt2RiverCub-Gemma-3-27B-impotent-heresy-i1-GGUF
Datasets
All datasets matching “impo”the_stack_v2_python_repos_pretraining_dataset_imported_context-datasetimpossible_livecodebenchimpossible_swebencharca-importaciones-argentina
ARCA Importaciones Argentina
Dataset público derivado de la Información Agregada de Comercio Exterior publicada por ARCA Argentina.
Cobertura
El objetivo histórico abarca todos los meses publicados por ARCA desde 02/2017 hasta 08/2026.
Dos granularidades reales de ARCA
ARCA no mantuvo el mismo formato durante todo el período. El pipeline detecta el encabezado de cada ZIP y conserva la semántica correcta:
data/items/YYYYMM.parquet: meses con… See the full description on the dataset page: https://huggingface.co/datasets/alexbozz1/arca-importaciones-argentina.python-image-copilot-training-using-import-knowledge-graphs
Python Copilot Image Training using Import Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each row contains a png file in the dbytes column.
Rows: 216642
Size: 211.2 GB
Data type: png
Format: Knowledge graph using NetworkX with alpaca text box
Schema
The png is in the dbytes column:
{
"dbytes": "binary"… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-image-copilot-training-using-import-knowledge-graphs.test_import_dataset_from_hub_using_settings_with_recordsFalse
Dataset Card for test_import_dataset_from_hub_using_settings_with_recordsFalse
This dataset has been created with Argilla. As shown in the sections below, this dataset can be loaded into your Argilla server as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Using this dataset with Argilla
To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:
import… See the full description on the dataset page: https://huggingface.co/datasets/argilla-internal-testing/test_import_dataset_from_hub_using_settings_with_recordsFalse.