Upload 6 files
Browse files- .gitattributes +1 -0
- left.json +0 -0
- right.json +3 -0
- semi-homo.py +54 -0
- test.csv +5742 -0
- train.csv +0 -0
- valid.csv +5742 -0
.gitattributes
CHANGED
@@ -52,3 +52,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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right.json filter=lfs diff=lfs merge=lfs -text
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left.json
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right.json
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:daf2fc6aa9ffd2cddf171f74e10273f506eb5776d598663f07c5c7370f583b12
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size 11330591
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semi-homo.py
ADDED
@@ -0,0 +1,54 @@
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import os
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import datasets
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import pandas as pd
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class semiHomoConfig(datasets.BuilderConfig):
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def __init__(self, features, data_url, **kwargs):
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super(semiHomoConfig, self).__init__(**kwargs)
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self.features = features
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self.data_url = data_url
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class semiHomo(datasets.GeneratorBasedBuilder):
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BUILDER_CONFIGS = [
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semiHomoConfig(
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name="pairs",
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features={
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"ltable_id": datasets.Value("string"),
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"rtable_id": datasets.Value("string"),
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"label": datasets.Value("string"),
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},
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data_url="https://huggingface.co/datasets/matchbench/semi-Homo/resolve/main/",
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),
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]
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def _info(self):
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return datasets.DatasetInfo(
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features=datasets.Features(self.config.features)
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)
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def _split_generators(self, dl_manager):
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if self.config.name == "pairs":
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return [
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datasets.SplitGenerator(
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name=split,
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gen_kwargs={
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"path_file": dl_manager.download_and_extract(
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os.path.join(self.config.data_url, f"{split}.csv")),
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"split": split,
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}
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)
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for split in ["train", "valid", "test"]
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]
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def _generate_examples(self, path_file, split):
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file = pd.read_csv(path_file)
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for i, row in file.iterrows():
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if split in ['train', 'valid','test']:
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yield i, {
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"ltable_id": row["ltable_id"],
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"rtable_id": row["rtable_id"],
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"label": row["label"],
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}
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test.csv
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2096,32114,0
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1949 |
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1057,11030,0
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1950 |
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1951 |
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2526,55260,0
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1952 |
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1953 |
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1954 |
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1955 |
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1956 |
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1957 |
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1958 |
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1960 |
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1961 |
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1962 |
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1963 |
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1964 |
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1965 |
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1966 |
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2263,53098,0
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1967 |
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1968 |
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1811,16650,0
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1969 |
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1970 |
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621,41227,1
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1971 |
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1972 |
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1973 |
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1974 |
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1975 |
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1976 |
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1977 |
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1978 |
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1979 |
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1324,46906,0
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1982 |
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1986 |
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1987 |
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1988 |
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1989 |
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2309,25486,0
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1990 |
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1991 |
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1992 |
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1993 |
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1994 |
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1995 |
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1996 |
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2001 |
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2003 |
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1439,18752,0
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5708 |
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2521,35086,0
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5709 |
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2547,16834,0
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5710 |
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1466,60341,0
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5711 |
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5712 |
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1789,11359,0
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306,31763,0
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2581,40484,1
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5715 |
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1826,51627,0
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5716 |
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791,10985,0
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5717 |
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498,19732,0
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5718 |
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5719 |
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1543,26107,0
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5720 |
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1439,3961,0
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5721 |
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1826,24504,0
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5722 |
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1909,15578,1
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5723 |
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2568,41465,0
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5724 |
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5725 |
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182,46640,0
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5726 |
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807,52741,0
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5727 |
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2431,53481,0
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5728 |
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5729 |
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797,57938,0
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5730 |
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2390,36631,0
|
5731 |
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1901,8559,0
|
5732 |
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1949,43474,0
|
5733 |
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1811,59732,0
|
5734 |
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406,45699,0
|
5735 |
+
1823,9748,0
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5736 |
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2174,29821,0
|
5737 |
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272,11246,0
|
5738 |
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1594,30233,0
|
5739 |
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19,7046,0
|
5740 |
+
1826,35643,0
|
5741 |
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1986,24933,0
|
5742 |
+
254,24963,0
|
train.csv
ADDED
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See raw diff
|
|
valid.csv
ADDED
@@ -0,0 +1,5742 @@
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1936 |
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1938 |
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1939 |
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1942 |
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1953 |
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1961 |
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1962 |
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1964 |
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1965 |
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1966 |
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1968 |
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1969 |
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1971 |
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1972 |
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1973 |
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1974 |
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1975 |
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1976 |
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1977 |
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1978 |
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1556,54759,1
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1023,175,1
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734,22721,0
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415,57548,0
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93,19344,0
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1986 |
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302,28820,0
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1987 |
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1988 |
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2418,41112,0
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1991 |
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1992 |
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320,9389,0
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1994 |
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1998 |
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852,12171,1
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1999 |
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1537,32125,0
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2000 |
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664,31853,1
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2001 |
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1841,11839,0
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4,2656,0
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2003 |
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2010 |
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2420,53525,0
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