Raw Datasets 🥩¶
To generate a Raw dataset, you need to use the RawDatasetGenerator
class.
Example of generated entry for the raw dataset:
{
"keyword": "keyword",
"topic": "topic",
"language": "language",
"generated_entry": {
"text": "generated text"
}
}
Synchronous Generation 🔁¶
import os
from synthgenai import (
DatasetConfig,
DatasetGeneratorConfig,
LLMConfig,
RawDatasetGenerator,
)
# 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 RawDatasetGenerator
raw_dataset_generator = RawDatasetGenerator(dataset_generator_config)
# Generating the dataset
raw_dataset = raw_dataset_generator.generate_dataset()
Asynchronous Generation 🔀¶
import os
import asyncio
from synthgenai import (
DatasetConfig,
DatasetGeneratorConfig,
LLMConfig,
RawDatasetGenerator,
)
# 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 RawDatasetGenerator
raw_dataset_generator = RawDatasetGenerator(dataset_generator_config)
# Generating the dataset asynchronously
raw_dataset = asyncio.run(raw_dataset_generator.agenerate_dataset())