Instruction Datasets 💬¶
To generate an Instruction dataset, you need to use the InstructionDatasetGenerator class.
Example of generated entry for the instruction dataset:
{
  "keyword": "keyword",
  "topic": "topic",
  "language": "language",
  "messages": [
    {
      "role": "system",
      "content": "generated system(instruction) prompt"
    },
    {
      "role": "user",
      "content": "generated user prompt"
    },
    {
      "role": "assistant",
      "content": "generated assistant prompt"
    }
  ]
}
Synchronous Generation 🔁¶
import os
from synthgenai import (
    DatasetConfig,
    DatasetGeneratorConfig,
    LLMConfig,
    InstructionDatasetGenerator,
)
# Setting the API keys
os.environ["LLM_API_KEY"] = ""
# Creating the LLMConfig
llm_config = LLMConfig(
    model="model_provider/model_name",
    temperature=0.5,
    top_p=0.9,
    max_tokens=2048,
)
# Creating the DatasetConfig
dataset_config = DatasetConfig(
    topic="topic_name",
    domains=["domain1", "domain2"],
    language="English",
    additional_description="Additional description",
    num_entries=1000
)
# Creating the DatasetGeneratorConfig
dataset_generator_config = DatasetGeneratorConfig(
    llm_config=llm_config,
    dataset_config=dataset_config,
)
# Creating the InstructionDatasetGenerator
instruction_dataset_generator = InstructionDatasetGenerator(dataset_generator_config)
# Generating the dataset
instruction_dataset = instruction_dataset_generator.generate_dataset()
Asynchronous Generation 🔀¶
import os
import asyncio
from synthgenai import (
    DatasetConfig,
    DatasetGeneratorConfig,
    LLMConfig,
    InstructionDatasetGenerator,
)
# Setting the API keys
os.environ["LLM_API_KEY"] = ""
# Creating the LLMConfig
llm_config = LLMConfig(
    model="model_provider/model_name",
    temperature=0.5,
    top_p=0.9,
    max_tokens=2048,
)
# Creating the DatasetConfig
dataset_config = DatasetConfig(
    topic="topic_name",
    domains=["domain1", "domain2"],
    language="English",
    additional_description="Additional description",
    num_entries=1000
)
# Creating the DatasetGeneratorConfig
dataset_generator_config = DatasetGeneratorConfig(
    llm_config=llm_config,
    dataset_config=dataset_config,
)
# Creating the InstructionDatasetGenerator
instruction_dataset_generator = InstructionDatasetGenerator(dataset_generator_config)
# Generating the dataset asynchronously
instruction_dataset = asyncio.run(instruction_dataset_generator.agenerate_dataset())