wehub-resource-sync
114 lines
4.2 KiB
Python
114 lines
4.2 KiB
Python
# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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import json
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def get_args():
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parser = argparse.ArgumentParser("generate data")
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parser.add_argument("--pred_path", required=True)
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parser.add_argument("--data_dir", required=True)
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parser.add_argument("--data_dir2", required=True)
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parser.add_argument("--save_path", required=True)
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parser.add_argument("--inter_mode", required=True)
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parser.add_argument("--base_model", required=True)
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parser.add_argument("--language", required=True)
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args = parser.parse_args()
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return args
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def evids_load(path):
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evids = []
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with open(path, "r") as f:
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for line in f.readlines():
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dic = json.loads(line)
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evids.append(dic)
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return evids
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def dataLoad(args):
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base_path = args.data_dir + "/"
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text_path = base_path + "rationale_text/dev/dev"
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text_exclusive_path = base_path + "rationale_exclusive_text/dev/dev"
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with open(text_path, "r") as f_text:
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text_dict_list = {}
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for line in f_text.readlines():
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line_dict = json.loads(line)
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text_dict_list[line_dict["id"]] = line_dict
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with open(text_exclusive_path, "r") as f_exclusive_text:
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text_exclusive_dict_list = {}
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for line in f_exclusive_text.readlines():
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line_dict = json.loads(line)
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text_exclusive_dict_list[line_dict["id"]] = line_dict
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base_path = args.data_dir2 + "/"
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text_path = base_path + "rationale_text/dev/dev"
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text_exclusive_path = base_path + "rationale_exclusive_text/dev/dev"
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with open(text_path, "r") as f_text:
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text_dict_list2 = {}
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for line in f_text.readlines():
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line_dict = json.loads(line)
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text_dict_list2[line_dict["id"]] = line_dict
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with open(text_exclusive_path, "r") as f_exclusive_text:
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text_exclusive_dict_list2 = {}
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for line in f_exclusive_text.readlines():
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line_dict = json.loads(line)
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text_exclusive_dict_list2[line_dict["id"]] = line_dict
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return text_dict_list, text_exclusive_dict_list, text_dict_list2, text_exclusive_dict_list2
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def r_data_generation(
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args, evids, text_dict_list, text_exclusive_dict_list, text_dict_list2, text_exclusive_dict_list2
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):
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save_path = args.save_path
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f_save = open(save_path, "w")
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res_data = []
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for ins in evids:
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temp = {}
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temp["id"] = ins["id"]
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temp["pred_label"] = ins["pred_label"]
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temp["rationale"] = text_dict_list2[ins["id"]]["context_idx"]
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temp["no_rationale"] = text_exclusive_dict_list2[ins["id"]]["context_idx"]
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if len(temp["rationale"]) > 1 and args.inter_mode != "lime" and not (args.base_model.startswith("roberta")):
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for i in range(len(temp["rationale"][1])):
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temp["rationale"][1][i] -= len(temp["rationale"][0]) + len(temp["no_rationale"][0])
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for i in range(len(temp["no_rationale"][1])):
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temp["no_rationale"][1][i] -= len(temp["rationale"][0]) + len(temp["no_rationale"][0])
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temp["rationale_pred"] = text_dict_list[ins["id"]]["pred_label"]
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temp["no_rationale_pred"] = text_exclusive_dict_list[ins["id"]]["pred_label"]
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temp["rationale_token"] = text_dict_list2[ins["id"]]["context_token"]
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res_data.append(temp)
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f_save.write(json.dumps(temp, ensure_ascii=False) + "\n")
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f_save.close()
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if __name__ == "__main__":
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args = get_args()
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text_dict_list, text_exclusive_dict_list, text_dict_list2, text_exclusive_dict_list2 = dataLoad(args)
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evids = evids_load(args.pred_path)
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r_data_generation(
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args, evids, text_dict_list, text_exclusive_dict_list, text_dict_list2, text_exclusive_dict_list2
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)
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