Add script

get_ni.py

@@ -0,0 +1,53 @@
+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):
+    examples = []
+    for example in task["Instances"]:
+        for output in example["output"]:
+            examples.append(
+                {
+                    "id": example["id"],
+                    "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)
+            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")