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import json
import logging
import pandas as pd
import requests
TRAIN_SPLIT_URL_NI = "https://raw.githubusercontent.com/allenai/natural-instructions/6174af63465999768fbc09f5dd8a7f1a5dfe9abc/splits/default/train_tasks.txt"
TEST_SPLIT_URL_NI = "https://raw.githubusercontent.com/allenai/natural-instructions/6174af63465999768fbc09f5dd8a7f1a5dfe9abc/splits/default/test_tasks.txt"
TASK_URL_NI = "https://raw.githubusercontent.com/allenai/natural-instructions/6174af63465999768fbc09f5dd8a7f1a5dfe9abc/tasks/"
# A total of 876 English tasks from the Natural Instructions dataset (757 tasks from the 'train' split and 119 tasks from the 'test' split)
TASKS_LIST_NI_TRAIN = pd.read_csv(TRAIN_SPLIT_URL_NI, delimiter="\t", header=None, names=["task_names"])["task_names"].tolist()
TASKS_LIST_NI_TEST = pd.read_csv(TEST_SPLIT_URL_NI, delimiter="\t", header=None, names=["task_names"])["task_names"].tolist()
split_to_task_list = {
"train": TASKS_LIST_NI_TRAIN,
"test": TASKS_LIST_NI_TEST,
}
def get_all_prompted_examples_ni(task, task_name):
examples = []
for example in task["Instances"]:
for output in example["output"]:
examples.append(
{
"task_name": task_name,
"id": example["id"],
"task_name": task_name,
"definition": task["Definition"][0],
"inputs": example["input"],
"targets": output,
}
)
return examples
def get_tasky_examples_ni(split):
task_list = split_to_task_list[split]
for task_name in task_list:
with open(f"{task_name}_{split}.jsonl", "w") as f:
try:
task_url = TASK_URL_NI + task_name + ".json"
task_data = json.loads(requests.get(task_url).text)
except Exception as e:
logging.exception(
f"There was an issue in loading the file {task_name}: {e} "
)
continue
examples = get_all_prompted_examples_ni(task_data, task_name)
if examples:
for example in examples:
f.write(json.dumps(example) + "\n")
if __name__ == "__main__":
get_tasky_examples_ni("train")
get_tasky_examples_ni("test")
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