[update]add data

README.md

@@ -18,18 +18,16 @@ size_categories:
 | DIAC2019 | 汉语 | [DIAC2019](https://www.biendata.xyz/competition/2019diac/data/) | 6K | 以问题组的形式提供，每组问句又分为等价部分和不等价部分，等价问句之间互相组合可以生成正样本，等价问句和不等价问句之间互相组合可以生成负样本。我们提供6000组问句的训练集。 |  |
 | LCQMC | 汉语 | [LCQMC](https://www.luge.ai/#/luge/dataDetail?id=14); [C18-1166.pdf](https://aclanthology.org/C18-1166.pdf) | TRAIN: 238766, VALID: 8802, TEST: 12500 | 百度知道领域的中文问题匹配数据集，目的是为了解决在中文领域大规模问题匹配数据集的缺失。该数据集从百度知道不同领域的用户问题中抽取构建数据。| [lcqmc_data](https://github.com/xiaohai-AI/lcqmc_data) |
 | AFQMC | 汉语 | [AFQMC](https://tianchi.aliyun.com/dataset/106411) | TRAIN: 34334, VALID: 4316, TEST: 3861 | 蚂蚁金融语义相似度数据集，用于问题相似度计算。即：给定客服里用户描述的两句话，用算法来判断是否表示了相同的语义。 |  |
+| BUSTM | 汉语 | [BUSTM](https://tianchi.aliyun.com/competition/entrance/531851/information); [BUSTM](https://github.com/xiaobu-coai/BUSTM) | 总样本数为：177173，其中，匹配样本个数为：54805，不匹配样本个数为：122368 | 小布助手对话短文本语义匹配比赛数据集 | [BUSTM](https://github.com/CLUEbenchmark/FewCLUE/tree/main/datasets/bustm) |
+| CHIP2019 | 汉语 | [CHIP2019](https://www.biendata.xyz/competition/chip2019/) | 2万 | 平安医疗科技疾病问答迁移学习比赛数据集 |  |
 
 
 <details>
 <summary>参考的数据来源,展开查看</summary>
 <pre><code>
-
 https://github.com/liucongg/NLPDataSet
 
 https://huggingface.co/datasets/tiansz/ChineseSTS
 https://zhuanlan.zhihu.com/p/454173790
-
-
 </code></pre>
 </details>
-

data/afqmc.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1c4a14884906f2b8bb1ccf917f55b1adc232d8a1557f514dce644e63bb416bc1
-size 7283904
+oid sha256:6981c3caf19a0c691d2edb503030cb8dc06614087f0af1280b7cd14aa9b0fa43
+size 8049102

data/bustm.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2dc6e70479aa6e6a5f33a659b7638312e60690f0dfa6cf5d838b9ee54838def1
+size 1346323

data/ccks2018_task3.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d8b8a79ef5e8d50ca2cc7429327b9c805c21760e9229ca906307064566fb8280
-size 37594914
+oid sha256:3c8c16081a423923e7289daea30fc16e1c4aa2f083da70583c47074d377a70ec
+size 41554914

data/chinese_sts.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ebd3abfde24771ae1ebab39559053aee1ed40e6430d0e1bd3f27f7b64a3c908f
-size 6450047
+oid sha256:a03523b11d7009aa7c54a7b2dfb641c71b66e8f18cfa5ac61229ace85d99c516
+size 6895331

data/chip2019.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:243e646755da05f3de0ed675694c77b72f2c27eb1f8406fa5ad68bd006b89c54
+size 16187426

data/diac2019.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a4fa97c4f00dc3448324170d42652d9453bda7fb2b63ead01ad7bf5b9bb574e5
-size 33965412
+oid sha256:42a9249c77676ec45a711cc7fc32c85e890e1b38a7a3d14be5b23df9b71b9145
+size 36910626

data/lcqmc.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2c1b93d2bb210aec9056065a4138aa1584db2f3aa9555450a3079409660745dc
-size 40905940
+oid sha256:160bb01f58111b57f139dd569283d6809cb4ccfc6b5a85b0938a403e9b18e594
+size 45587164

examples/preprocess/process_afqmc.py

@@ -66,7 +66,8 @@ def main():
                         "sentence1": sentence1,
                         "sentence2": sentence2,
                         "label": label,
-                        "data_source": "lcqmc",
+                        "category": None,
+                        "data_source": "afqmc",
                         "split": flag
                     }
 

examples/preprocess/process_bustm.py

@@ -0,0 +1,91 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import argparse
+import json
+import os
+from pathlib import Path
+import sys
+
+pwd = os.path.abspath(os.path.dirname(__file__))
+sys.path.append(os.path.join(pwd, '../../'))
+
+from datasets import load_dataset
+from lxml import etree
+import pandas as pd
+from tqdm import tqdm
+
+from project_settings import project_path
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument("--data_dir", default="./data/bustm", type=str)
+    parser.add_argument(
+        "--output_file",
+        default=(project_path / "data/bustm.jsonl"),
+        type=str
+    )
+
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    args = get_args()
+    data_dir = Path(args.data_dir)
+
+    with open(args.output_file, "w", encoding="utf-8") as fout:
+        for name in ["train_few_all.json", "dev_few_all.json", "test_public.json", "test.json", "unlabeled.json"]:
+            filename = data_dir / name
+            with open(filename.as_posix(), "r", encoding="utf-8") as fin:
+                for row in fin:
+                    row = json.loads(row)
+                    sentence1 = row["sentence1"]
+                    sentence2 = row["sentence2"]
+
+                    if name == "train_few_all.json":
+                        label = row["label"]
+                        category = None
+                        flag = "train"
+                    elif name == "dev_few_all.json":
+                        label = row["label"]
+                        category = None
+                        flag = "validation"
+                    elif name == "test_public.json":
+                        label = row["label"]
+                        category = "test_labeled"
+                        flag = "test"
+                    elif name == "test.json":
+                        label = None
+                        category = "test_unlabeled"
+                        flag = "test"
+                    elif name == "unlabeled.json":
+                        label = None
+                        category = "unlabeled"
+                        flag = "test"
+                    else:
+                        raise AssertionError
+
+                    label = str(int(label)) if label is not None else None
+
+                    if label not in ("0", "1", None):
+                        raise AssertionError
+
+                    row = {
+                        "sentence1": sentence1,
+                        "sentence2": sentence2,
+                        "label": label,
+                        "category": category,
+                        "data_source": "bustm",
+                        "split": flag
+                    }
+
+                    row = json.dumps(row, ensure_ascii=False)
+                    fout.write("{}\n".format(row))
+
+    return
+
+
+if __name__ == '__main__':
+    main()

examples/preprocess/process_ccks2018_task3.py

@@ -65,6 +65,7 @@ def main():
                         "sentence1": sentence1,
                         "sentence2": sentence2,
                         "label": label,
+                        "category": None,
                         "data_source": "ccks2018_task3",
                         "split": flag
                     }

examples/preprocess/process_chinese_sts.py

@@ -64,6 +64,7 @@ def main():
                 "sentence1": sentence1,
                 "sentence2": sentence2,
                 "label": label,
+                "category": None,
                 "data_source": "ChineseSTS",
                 "split": "train"
             }

examples/preprocess/process_chip2019.py

@@ -0,0 +1,81 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import argparse
+import json
+import os
+from pathlib import Path
+import sys
+
+pwd = os.path.abspath(os.path.dirname(__file__))
+sys.path.append(os.path.join(pwd, '../../'))
+
+from datasets import load_dataset
+import pandas as pd
+from tqdm import tqdm
+
+from project_settings import project_path
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument("--data_dir", default="./data/chip2019", type=str)
+    parser.add_argument(
+        "--output_file",
+        default=(project_path / "data/chip2019.jsonl"),
+        type=str
+    )
+
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    args = get_args()
+
+    data_dir = Path(args.data_dir)
+
+    with open(args.output_file, "w", encoding="utf-8") as f:
+        for name in ["train.csv", "dev_id.csv", "test_final.csv"]:
+            filename = data_dir / name
+
+            df = pd.read_csv(filename.as_posix())
+            for i, row in df.iterrows():
+                question1 = row["question1"]
+                question2 = row["question2"]
+                category = row["category"]
+
+                if name == "train.csv":
+                    label = row["label"]
+                    flag = "train"
+                elif name == "dev_id.csv":
+                    label = None
+                    flag = "validation"
+                elif name == "test_final.csv":
+                    label = None
+                    flag = "test"
+                else:
+                    raise AssertionError
+
+                label = str(int(label)) if label is not None else None
+
+                if label not in ("0", "1", None):
+                    raise AssertionError
+
+                row = {
+                    "sentence1": question1,
+                    "sentence2": question2,
+                    "label": label,
+                    "category": category,
+                    "data_source": "chip2019",
+                    "split": flag
+                }
+
+                row = json.dumps(row, ensure_ascii=False)
+                f.write("{}\n".format(row))
+
+    return
+
+
+if __name__ == '__main__':
+    main()

examples/preprocess/process_diac2019.py

@@ -76,6 +76,7 @@ def main():
                     "sentence1": q1,
                     "sentence2": q2,
                     "label": label,
+                    "category": None,
                     "data_source": "diac2019",
                     "split": "train"
                 }
@@ -95,6 +96,7 @@ def main():
                 "sentence1": question1,
                 "sentence2": question2,
                 "score": "1",
+                "category": None,
                 "data_source": "diac2019",
                 "split": "validation"
             }
@@ -114,6 +116,7 @@ def main():
                 "sentence1": question1,
                 "sentence2": question2,
                 "score": None,
+                "category": None,
                 "data_source": "diac2019",
                 "split": "test"
             }

examples/preprocess/process_lcqmc.py

@@ -67,6 +67,7 @@ def main():
                         "sentence1": q1,
                         "sentence2": q2,
                         "label": label,
+                        "category": None,
                         "data_source": "lcqmc",
                         "split": flag
                     }

sentence_pair.py

@@ -47,6 +47,7 @@ class SentencePair(datasets.GeneratorBasedBuilder):
                 "sentence1": datasets.Value("string"),
                 "sentence2": datasets.Value("string"),
                 "label": datasets.Value("string"),
+                "category": datasets.Value("string"),
                 "data_source": datasets.Value("string"),
                 "split": datasets.Value("string"),
             }
@@ -97,6 +98,7 @@ class SentencePair(datasets.GeneratorBasedBuilder):
                     "sentence1": sample["sentence1"],
                     "sentence2": sample["sentence2"],
                     "label": sample["label"],
+                    "category": sample["category"],
                     "data_source": sample["data_source"],
                     "split": sample["split"],
                 }