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#
# Run this file to download the human_eval dataset, and create a corresponding testbed scenario:
# (default: ../scenarios/human_eval_two_agents_gpt4.jsonl and ./scenarios/human_eval_two_agents_gpt35.jsonl)
#
import json
import os
import re
import sys
from huggingface_hub import snapshot_download
SCRIPT_PATH = os.path.realpath(__file__)
SCRIPT_NAME = os.path.basename(SCRIPT_PATH)
SCRIPT_DIR = os.path.dirname(SCRIPT_PATH)
SCENARIO_DIR = os.path.realpath(os.path.join(SCRIPT_DIR, os.path.pardir))
TEMPLATES_DIR = os.path.join(SCENARIO_DIR, "Templates")
TASKS_DIR = os.path.join(SCENARIO_DIR, "Tasks")
DOWNLOADS_DIR = os.path.join(SCENARIO_DIR, "Downloads")
REPO_DIR = os.path.join(DOWNLOADS_DIR, "GAIA")
def download_gaia():
"""Download the GAIA benchmark from Hugging Face."""
if not os.path.isdir(DOWNLOADS_DIR):
os.mkdir(DOWNLOADS_DIR)
"""Download the GAIA dataset from Hugging Face Hub"""
snapshot_download(
repo_id="gaia-benchmark/GAIA",
repo_type="dataset",
local_dir=REPO_DIR,
local_dir_use_symlinks=True,
)
def create_jsonl(name, tasks, files_dir, template):
"""Creates a JSONL scenario file with a given name, and template path."""
if not os.path.isdir(TASKS_DIR):
os.mkdir(TASKS_DIR)
with open(os.path.join(TASKS_DIR, name + ".jsonl"), "wt") as fh:
for task in tasks:
print(f"Converting: [{name}] {task['task_id']}")
# Figure out what files we need to copy
template_cp_list = [template]
if len(task["file_name"].strip()) > 0:
template_cp_list.append(
[
os.path.join(files_dir, task["file_name"].strip()),
task["file_name"].strip(),
#os.path.join("coding", task["file_name"].strip()),
]
)
record = {
"id": task["task_id"],
"template": template_cp_list,
"substitutions": {
"scenario.py": {
"__FILE_NAME__": task["file_name"],
},
"expected_answer.txt": {"__EXPECTED_ANSWER__": task["Final answer"]},
"prompt.txt": {"__PROMPT__": task["Question"]},
},
}
fh.write(json.dumps(record).strip() + "\n")
###############################################################################
def main():
gaia_validation_files = os.path.join(REPO_DIR, "2023", "validation")
gaia_test_files = os.path.join(REPO_DIR, "2023", "test")
if not os.path.isdir(gaia_validation_files) or not os.path.isdir(gaia_test_files):
download_gaia()
if not os.path.isdir(gaia_validation_files) or not os.path.isdir(gaia_test_files):
sys.exit(f"Error: '{REPO_DIR}' does not appear to be a copy of the GAIA repository.")
# Load the GAIA data
gaia_validation_tasks = [[], [], []]
with open(os.path.join(gaia_validation_files, "metadata.jsonl")) as fh:
for line in fh:
data = json.loads(line)
gaia_validation_tasks[data["Level"] - 1].append(data)
gaia_test_tasks = [[], [], []]
with open(os.path.join(gaia_test_files, "metadata.jsonl")) as fh:
for line in fh:
data = json.loads(line)
# A welcome message -- not a real task
if data["task_id"] == "0-0-0-0-0":
continue
gaia_test_tasks[data["Level"] - 1].append(data)
# list all directories in the Templates directory
# and populate a dictionary with the name and path
templates = {}
for entry in os.scandir(TEMPLATES_DIR):
if entry.is_dir():
templates[re.sub(r"\s", "", entry.name)] = entry.path
# Add coding directories if needed (these are usually empty and left out of the repo)
#for template in templates.values():
# code_dir_path = os.path.join(template, "coding")
# if not os.path.isdir(code_dir_path):
# os.mkdir(code_dir_path)
# Create the various combinations of [models] x [templates]
for t in templates.items():
create_jsonl(
f"gaia_validation_level_1__{t[0]}",
gaia_validation_tasks[0],
gaia_validation_files,
t[1],
)
create_jsonl(
f"gaia_validation_level_2__{t[0]}",
gaia_validation_tasks[1],
gaia_validation_files,
t[1],
)
create_jsonl(
f"gaia_validation_level_3__{t[0]}",
gaia_validation_tasks[2],
gaia_validation_files,
t[1],
)
create_jsonl(
f"gaia_test_level_1__{t[0]}",
gaia_test_tasks[0],
gaia_test_files,
t[1],
)
create_jsonl(
f"gaia_test_level_2__{t[0]}",
gaia_test_tasks[1],
gaia_test_files,
t[1],
)
create_jsonl(
f"gaia_test_level_3__{t[0]}",
gaia_test_tasks[2],
gaia_test_files,
t[1],
)
if __name__ == "__main__" and __package__ is None:
main()