| """ |
| instruction 中任务的标签集合作为选项提供，故每个任务应当提供label文件 |
| """ |
|
|
| import os |
| import json |
|
|
|
|
| def label_collect(task_path, task_collect_fun, filter_path=None, max_labels=30): |
| """ |
| 在任务路径下，为每个数据集，生成一个labels.json |
| labels.json 包含内容为所有标签的list，以NER为例： |
| ['person', 'location', 'organization'] |
| |
| Args: |
| task_path: task files path which contains datasets dir |
| task_collect_fun: task specific label collect function |
| filter_path: filter datasets with too much labels |
| |
| Returns: |
| |
| """ |
| filter_ds_dirs = [] |
|
|
| for dirpath, dirnames, filenames in os.walk(task_path): |
| for dirname in dirnames: |
| ds_dir = os.path.join(dirpath, dirname) |
| labels = [] |
|
|
| |
| for ds_type in ['train', 'dev', 'test']: |
| ds_type_file = os.path.join(ds_dir, ds_type+'.json') |
| ds_type_labels = task_collect_fun(ds_type_file) |
| labels += ds_type_labels |
|
|
| labels = list(set(labels)) |
| out_file = os.path.join(ds_dir, 'labels.json') |
| json.dump(labels, open(out_file, 'w+', encoding='utf-8'), ensure_ascii=False) |
| print('Finish out {} labels to {}!'.format(len(labels), out_file)) |
|
|
| if len(labels) >= max_labels: |
| filter_dir = os.path.join(filter_path, dirname) |
| filter_ds_dirs.append([ds_dir, filter_dir]) |
|
|
| |
| for ds_dir, filter_dir in filter_ds_dirs: |
| cmd = "mv {} {}".format(ds_dir, filter_dir) |
| os.system(cmd) |
| print('Move {} to {} cz too much labels!'.format(ds_dir, filter_dir)) |
|
|
|
|
| def NER_label_collect(file_path): |
| """ |
| 按照输入文件路径，收集标签，按照list返回。 |
| 输入文件为一个样例json列表，返回为标签集合 |
| Args: |
| file_path: dataset file name |
| |
| Returns: |
| [label1, label2] |
| """ |
| fi = open(file_path, 'r+', encoding='utf-8') |
| samples = json.load(fi) |
| labels = [] |
|
|
| for sample in samples: |
| for entity in sample['entities']: |
| if entity['type'] not in labels: |
| labels.append(entity['type']) |
|
|
| return labels |
|
|
|
|
| if __name__ == "__main__": |
| NER_path = '/root/InstructUIE/data/NER_processed' |
| filter_path = '/root/InstructUIE/data/NER_filter' |
| label_collect(NER_path, NER_label_collect, filter_path) |
|
|
