| 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/" |
|
|
| |
| 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") |
|
|
