terryyz/odex_ngram_13 · Datasets at Hugging Face

ngram listlengths 0 16
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[ "number of spaces between strings `Python`, `:` and `Very Good` to be `20`", "format number of spaces between strings `Python`, `:` and `Very Good` to be" ]
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[ "output of a chain of system commands `ps -ef \| grep something \|", "of a chain of system commands `ps -ef \| grep something \| wc", "capture final output of a chain of system commands `ps -ef \| grep", "a chain of system commands `ps -ef \| grep something \| wc -l`", "final output of a chain of system commands `ps -ef \| grep something" ]
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[ "multi-line string ` a \\n b \\r\\n c ` by new line character", "string ` a \\n b \\r\\n c ` by new line character `\\n`", "Split a multi-line string ` a \\n b \\r\\n c ` by new", "a multi-line string ` a \\n b \\r\\n c ` by new line" ]
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[ "convert a string `my_string` with dot and comma into a float number `my_float`" ]
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[ "add argument with flag '--version' and version action of '%(prog)s 2.0' to parser", "argparse add argument with flag '--version' and version action of '%(prog)s 2.0' to", "argument with flag '--version' and version action of '%(prog)s 2.0' to parser `parser`" ]
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[ "Create new DataFrame object by merging columns \"key\" of dataframes `split_df` and `csv_df`", "by merging columns \"key\" of dataframes `split_df` and `csv_df` and rename the columns", "and rename the columns from dataframes `split_df` and `csv_df` with suffix `_left` and", "and `csv_df` and rename the columns from dataframes `split_df` and `csv_df` with suffix", "dataframes `split_df` and `csv_df` and rename the columns from dataframes `split_df` and `csv_df`", "of dataframes `split_df` and `csv_df` and rename the columns from dataframes `split_df` and", "merging columns \"key\" of dataframes `split_df` and `csv_df` and rename the columns from", "columns \"key\" of dataframes `split_df` and `csv_df` and rename the columns from dataframes", "DataFrame object by merging columns \"key\" of dataframes `split_df` and `csv_df` and rename", "`split_df` and `csv_df` and rename the columns from dataframes `split_df` and `csv_df` with", "the columns from dataframes `split_df` and `csv_df` with suffix `_left` and `_right` respectively", "rename the columns from dataframes `split_df` and `csv_df` with suffix `_left` and `_right`", "new DataFrame object by merging columns \"key\" of dataframes `split_df` and `csv_df` and", "object by merging columns \"key\" of dataframes `split_df` and `csv_df` and rename the", "`csv_df` and rename the columns from dataframes `split_df` and `csv_df` with suffix `_left`", "\"key\" of dataframes `split_df` and `csv_df` and rename the columns from dataframes `split_df`" ]
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[ "convert epoch time represented as milliseconds `s` to string using format '%Y-%m-%d %H:%M:%S.%f'" ]
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[ "dictionaries `dicts` with the same keys in each list to a single dictionary", "list of dictionaries `dicts` with the same keys in each list to a", "of dictionaries `dicts` with the same keys in each list to a single", "combine list of dictionaries `dicts` with the same keys in each list to" ]
[ "dictionary `dicts` into a flat dictionary by concatenating nested values with the same", "a nested dictionary `dicts` into a flat dictionary by concatenating nested values with", "nested dictionary `dicts` into a flat dictionary by concatenating nested values with the", "Merge a nested dictionary `dicts` into a flat dictionary by concatenating nested values", "`dicts` into a flat dictionary by concatenating nested values with the same key", "into a flat dictionary by concatenating nested values with the same key `k`" ]
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[ "value of respective elements of array `[2, 3, 4]` and array `[1, 5,", "maximum value of respective elements of array `[2, 3, 4]` and array `[1,", "array containing the maximum value of respective elements of array `[2, 3, 4]`", "create array containing the maximum value of respective elements of array `[2, 3,", "containing the maximum value of respective elements of array `[2, 3, 4]` and", "the maximum value of respective elements of array `[2, 3, 4]` and array", "of respective elements of array `[2, 3, 4]` and array `[1, 5, 2]`" ]
[ "list `l` and move first 3 elements to the end of the list", "a list `l` and move first 3 elements to the end of the", "print a list `l` and move first 3 elements to the end of" ]
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[ "the elements of list `lines` concatenated by special character '\\n' to file `myfile`", "write the elements of list `lines` concatenated by special character '\\n' to file" ]
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[ "split string 'QH QD JC KD JS' into a list on white spaces" ]
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[ "a list with the first element equal to '332' within the list of", "of a list with the first element equal to '332' within the list", "with the first element equal to '332' within the list of lists `thelist`", "the index of a list with the first element equal to '332' within", "index of a list with the first element equal to '332' within the", "find the index of a list with the first element equal to '332'", "list with the first element equal to '332' within the list of lists" ]
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[ "remove all non-alphanumeric characters except space from a string `text` and lower it" ]
[ "subscript text 'H20' with '2' as subscripted in matplotlib labels for arrays 'x'", "'H20' with '2' as subscripted in matplotlib labels for arrays 'x' and 'y'.", "text 'H20' with '2' as subscripted in matplotlib labels for arrays 'x' and" ]
[ "subscript text 'H20' with '2' as subscripted in matplotlib labels for arrays 'x'", "'H20' with '2' as subscripted in matplotlib labels for arrays 'x' and 'y'.", "text 'H20' with '2' as subscripted in matplotlib labels for arrays 'x' and" ]
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[ "from dataframe `df1` with data from dataframe `df2` based on matching values of", "`df1` with data from dataframe `df2` based on matching values of column 'Date_Time'", "from dataframe `df2` based on matching values of column 'Date_Time' in both dataframes", "data from dataframe `df1` with data from dataframe `df2` based on matching values", "data from dataframe `df2` based on matching values of column 'Date_Time' in both", "dataframe `df1` with data from dataframe `df2` based on matching values of column", "joining data from dataframe `df1` with data from dataframe `df2` based on matching", "with data from dataframe `df2` based on matching values of column 'Date_Time' in" ]
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[ "Create new matrix object by concatenating data from matrix A and matrix B" ]
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[ "number of spaces between strings `Python`, `:` and `Very Good` to be `20`", "format number of spaces between strings `Python`, `:` and `Very Good` to be" ]

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[ "multi-line string ` a \\n b \\r\\n c ` by new line character", "string ` a \\n b \\r\\n c ` by new line character `\\n`", "Split a multi-line string ` a \\n b \\r\\n c ` by new", "a multi-line string ` a \\n b \\r\\n c ` by new line" ]

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[ "convert a string `my_string` with dot and comma into a float number `my_float`" ]

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[ "add argument with flag '--version' and version action of '%(prog)s 2.0' to parser", "argparse add argument with flag '--version' and version action of '%(prog)s 2.0' to", "argument with flag '--version' and version action of '%(prog)s 2.0' to parser `parser`" ]

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[ "Create new DataFrame object by merging columns \"key\" of dataframes `split_df` and `csv_df`", "by merging columns \"key\" of dataframes `split_df` and `csv_df` and rename the columns", "and rename the columns from dataframes `split_df` and `csv_df` with suffix `_left` and", "and `csv_df` and rename the columns from dataframes `split_df` and `csv_df` with suffix", "dataframes `split_df` and `csv_df` and rename the columns from dataframes `split_df` and `csv_df`", "of dataframes `split_df` and `csv_df` and rename the columns from dataframes `split_df` and", "merging columns \"key\" of dataframes `split_df` and `csv_df` and rename the columns from", "columns \"key\" of dataframes `split_df` and `csv_df` and rename the columns from dataframes", "DataFrame object by merging columns \"key\" of dataframes `split_df` and `csv_df` and rename", "`split_df` and `csv_df` and rename the columns from dataframes `split_df` and `csv_df` with", "the columns from dataframes `split_df` and `csv_df` with suffix `_left` and `_right` respectively", "rename the columns from dataframes `split_df` and `csv_df` with suffix `_left` and `_right`", "new DataFrame object by merging columns \"key\" of dataframes `split_df` and `csv_df` and", "object by merging columns \"key\" of dataframes `split_df` and `csv_df` and rename the", "`csv_df` and rename the columns from dataframes `split_df` and `csv_df` with suffix `_left`", "\"key\" of dataframes `split_df` and `csv_df` and rename the columns from dataframes `split_df`" ]

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[ "convert epoch time represented as milliseconds `s` to string using format '%Y-%m-%d %H:%M:%S.%f'" ]

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[ "dictionaries `dicts` with the same keys in each list to a single dictionary", "list of dictionaries `dicts` with the same keys in each list to a", "of dictionaries `dicts` with the same keys in each list to a single", "combine list of dictionaries `dicts` with the same keys in each list to" ]

[ "dictionary `dicts` into a flat dictionary by concatenating nested values with the same", "a nested dictionary `dicts` into a flat dictionary by concatenating nested values with", "nested dictionary `dicts` into a flat dictionary by concatenating nested values with the", "Merge a nested dictionary `dicts` into a flat dictionary by concatenating nested values", "`dicts` into a flat dictionary by concatenating nested values with the same key", "into a flat dictionary by concatenating nested values with the same key `k`" ]

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[ "value of respective elements of array `[2, 3, 4]` and array `[1, 5,", "maximum value of respective elements of array `[2, 3, 4]` and array `[1,", "array containing the maximum value of respective elements of array `[2, 3, 4]`", "create array containing the maximum value of respective elements of array `[2, 3,", "containing the maximum value of respective elements of array `[2, 3, 4]` and", "the maximum value of respective elements of array `[2, 3, 4]` and array", "of respective elements of array `[2, 3, 4]` and array `[1, 5, 2]`" ]

[ "list `l` and move first 3 elements to the end of the list", "a list `l` and move first 3 elements to the end of the", "print a list `l` and move first 3 elements to the end of" ]

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[ "the elements of list `lines` concatenated by special character '\\n' to file `myfile`", "write the elements of list `lines` concatenated by special character '\\n' to file" ]

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[ "split string 'QH QD JC KD JS' into a list on white spaces" ]

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[ "a list with the first element equal to '332' within the list of", "of a list with the first element equal to '332' within the list", "with the first element equal to '332' within the list of lists `thelist`", "the index of a list with the first element equal to '332' within", "index of a list with the first element equal to '332' within the", "find the index of a list with the first element equal to '332'", "list with the first element equal to '332' within the list of lists" ]

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[ "remove all non-alphanumeric characters except space from a string `text` and lower it" ]

[ "subscript text 'H20' with '2' as subscripted in matplotlib labels for arrays 'x'", "'H20' with '2' as subscripted in matplotlib labels for arrays 'x' and 'y'.", "text 'H20' with '2' as subscripted in matplotlib labels for arrays 'x' and" ]

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[ "from dataframe `df1` with data from dataframe `df2` based on matching values of", "`df1` with data from dataframe `df2` based on matching values of column 'Date_Time'", "from dataframe `df2` based on matching values of column 'Date_Time' in both dataframes", "data from dataframe `df1` with data from dataframe `df2` based on matching values", "data from dataframe `df2` based on matching values of column 'Date_Time' in both", "dataframe `df1` with data from dataframe `df2` based on matching values of column", "joining data from dataframe `df1` with data from dataframe `df2` based on matching", "with data from dataframe `df2` based on matching values of column 'Date_Time' in" ]

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[ "Create new matrix object by concatenating data from matrix A and matrix B" ]

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