Skip to main content
Glama

Dingo MCP Server

by MigoXLab
test_hf_datasource.py2.6 kB
import pytest from dingo.config import InputArgs from dingo.data.datasource.huggingface import HuggingFaceSource class TestHfDataset: def test_hf_datasource_get_data(self): path = "chupei/format-text" ri = InputArgs( eval_group='default', input_path=path, output_path='data/outputs/', data_format='plaintext', column_content='text', custom_config=None ) source = HuggingFaceSource(input_args=ri) data_iter = source.load() for i in data_iter: print(i) def test_hf_datasource_get_data_2(self): path = "chupei/format-json" ri = InputArgs( eval_group='default', input_path=path, output_path='data/outputs/', data_format='json', column_content='prediction', column_prompt='origin_prompt', custom_config=None ) source = HuggingFaceSource(input_args=ri) data_iter = source.load() for i in data_iter: print(i) def test_hf_datasource_get_data_3(self): path = "chupei/format-jsonl" ri = InputArgs( eval_group='default', input_path=path, output_path='data/outputs/', data_format='jsonl', column_content='content', custom_config=None ) source = HuggingFaceSource(input_args=ri) data_iter = source.load() for i in data_iter: print(i) def test_hf_datasource_get_data_4(self): path = "chupei/format-listjson" ri = InputArgs( eval_group='default', input_path=path, output_path='data/outputs/', data_format='listjson', column_content='output', column_prompt="instruction", custom_config=None ) source = HuggingFaceSource(input_args=ri) data_iter = source.load() for i in data_iter: print(i) def test_hf_datasource_get_data_5(self): path = "lmms-lab/LLaVA-OneVision-Data" ri = InputArgs( eval_group='default', input_path=path, output_path='./test/outputs/', column_image=['image'], column_content='conversations', custom_config=None ) source = HuggingFaceSource(input_args=ri, config_name='CLEVR-Math(MathV360K)') data_iter = source.load() print(data_iter[0]) if __name__ == "__main__": pytest.main(["-s", "-q"])

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MigoXLab/dingo'

If you have feedback or need assistance with the MCP directory API, please join our Discord server