Dingo MCP Server

from dingo.config import InputArgs from dingo.exec import Executor def huggingface_plaintext(): input_data = { "input_path": "chupei/format-text", "dataset": { "format": "plaintext", "field": { "content": "text" } }, "executor": { "eval_group": "sft" } } input_args = InputArgs(**input_data) executor = Executor.exec_map["local"](input_args) result = executor.execute() print(result) def huggingface_json(): input_data = { "input_path": "chupei/format-json", "dataset": { "format": "json", "field": { "prompt": "origin_prompt", "content": "prediction" } }, "executor": { "eval_group": "sft", } } input_args = InputArgs(**input_data) executor = Executor.exec_map["local"](input_args) result = executor.execute() print(result) def huggingface_jsonl(): input_data = { "input_path": "chupei/format-jsonl", "dataset": { "format": "jsonl", "field": { "content": "content" } }, "executor": { "eval_group": "sft", } } input_args = InputArgs(**input_data) executor = Executor.exec_map["local"](input_args) result = executor.execute() print(result) def huggingface_listjson(): input_data = { "input_path": "chupei/format-listjson", "dataset": { "format": "listjson", "field": { "prompt": "instruction", "content": "output" } }, "executor": { "eval_group": "sft", } } input_args = InputArgs(**input_data) executor = Executor.exec_map["local"](input_args) result = executor.execute() print(result) if __name__ == '__main__': huggingface_plaintext() huggingface_json() huggingface_jsonl() huggingface_listjson()