Datasets:
SauravMaheshkar
/
NDC-classes

Dataset card Data Studio Files Community
hyperedge
int64
1
49.7k
nodes
stringclasses
523 values
timestamp
float64
172B
3,573B
3,856
[178, 723, 180, 724, 179, 722, 182]
2,051,222,400,000
3,857
[721, 178, 179, 180, 182, 728]
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3,858
[721, 178, 179, 180, 182, 728]
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3,859
[721, 178, 179, 180, 182, 728]
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3,860
[721, 178, 179, 180, 182, 728]
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3,861
[721, 178, 179, 180, 182, 728]
2,051,222,400,000
3,862
[721, 178, 179, 180, 182, 728]
2,051,222,400,000
3,863
[721, 178, 179, 180, 182, 728]
2,051,222,400,000
3,864
[721, 178, 179, 180, 182, 728]
2,051,222,400,000
3,865
[721, 178, 179, 180, 182, 728]
2,051,222,400,000
3,866
[721, 178, 179, 180, 182, 728]
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3,867
[721, 178, 179, 180, 182, 728]
2,051,222,400,000
3,868
[721, 178, 179, 180, 182, 728]
2,051,222,400,000
3,869
[721, 178, 179, 180, 182, 728]
2,051,222,400,000
3,870
[721, 178, 179, 180, 182, 728]
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3,871
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2,051,222,400,000
3,872
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2,051,222,400,000
3,873
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3,874
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2,051,222,400,000
3,875
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2,051,222,400,000
3,876
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3,877
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3,878
[178, 179, 180, 182, 733, 734]
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3,879
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3,880
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3,881
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3,882
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3,883
[178, 179, 180, 182, 733, 734]
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3,884
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3,885
[178, 179, 180, 182, 733, 734]
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3,886
[178, 179, 180, 182, 733, 734]
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3,887
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3,888
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3,889
[178, 179, 180, 182, 733, 734]
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3,890
[178, 179, 180, 182, 733, 734]
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3,891
[178, 179, 182, 733, 734]
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3,892
[178, 179, 182, 733, 734]
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3,893
[178, 179, 182, 733, 734]
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3,894
[178, 179, 182, 733, 734]
2,051,222,400,000
3,895
[178, 179, 182, 733, 734]
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3,896
[178, 179, 182, 733, 734]
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3,897
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3,898
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3,899
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2,051,222,400,000
3,900
[178, 179, 182, 733, 734]
2,051,222,400,000
3,901
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,902
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,903
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2,051,222,400,000
3,904
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3,905
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3,906
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3,907
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2,051,222,400,000
3,908
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3,909
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,910
[178, 179, 180, 182, 733, 734]
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3,911
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3,912
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3,913
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3,914
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3,915
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3,916
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3,917
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3,918
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3,919
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3,920
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3,921
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3,922
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2,051,222,400,000
3,923
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3,924
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2,051,222,400,000
3,925
[178, 179, 180, 182, 733, 734]
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3,926
[178, 179, 180, 182, 733, 734]
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3,927
[178, 179, 180, 182, 733, 734]
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3,928
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,929
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,930
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,931
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,932
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,933
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,934
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,935
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,936
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,937
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,938
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,939
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,940
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,941
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,942
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,943
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,944
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,945
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,946
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,947
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,948
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,949
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,950
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,951
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,952
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,953
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,954
[178, 179, 180, 182, 733, 734]
2,051,222,400,000
3,955
[178, 179, 180, 182, 733, 734]
2,051,222,400,000