Datasets:
HydraLM
/
conala_standardized

Dataset card Data Studio Files
xet
Community
message_type
stringclasses
2 values
message
stringlengths
2
232
⌀
message_id
int64
0
1
conversation_id
int64
0
2.38k
instruction
null
0
100
output
driver.find_element_by_xpath('xpath').click()
1
100
instruction
count unique index values in column 'A' in pandas dataframe `ex`
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101
output
ex.groupby(level='A').agg(lambda x: x.index.get_level_values(1).nunique())
1
101
instruction
Create a pandas dataframe of values from a dictionary `d` which contains dictionaries of dictionaries
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102
output
pd.concat(map(pd.DataFrame, iter(d.values())), keys=list(d.keys())).stack().unstack(0)
1
102
instruction
find out the number of non-matched elements at the same index of list `a` and list `b`
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103
output
sum(1 for i, j in zip(a, b) if i != j)
1
103
instruction
make all keys lowercase in dictionary `d`
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104
output
d = {(a.lower(), b): v for (a, b), v in list(d.items())}
1
104
instruction
sort list `list_` based on first element of each tuple and by the length of the second element of each tuple
0
105
output
list_.sort(key=lambda x: [x[0], len(x[1]), x[1]])
1
105
instruction
trim whitespace in string `s`
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106
output
s.strip()
1
106
instruction
trim whitespace (including tabs) in `s` on the left side
0
107
output
s = s.lstrip()
1
107
instruction
trim whitespace (including tabs) in `s` on the right side
0
108
output
s = s.rstrip()
1
108
instruction
trim characters ' \t\n\r' in `s`
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109
output
s = s.strip(' \t\n\r')
1
109
instruction
trim whitespaces (including tabs) in string `s`
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110
output
print(re.sub('[\\s+]', '', s))
1
110
instruction
In Django, filter `Task.objects` based on all entities in ['A', 'P', 'F']
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111
output
Task.objects.exclude(prerequisites__status__in=['A', 'P', 'F'])
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111
instruction
Change background color in Tkinter
0
112
output
root.configure(background='black')
1
112
instruction
convert dict `result` to numpy structured array
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113
output
numpy.array([(key, val) for key, val in result.items()], dtype)
1
113
instruction
Concatenate dataframe `df_1` to dataframe `df_2` sorted by values of the column 'y'
0
114
output
pd.concat([df_1, df_2.sort_values('y')])
1
114
instruction
replace the last occurence of an expression '</div>' with '</bad>' in a string `s`
0
115
output
re.sub('(.*)</div>', '\\1</bad>', s)
1
115
instruction
get the maximum of 'salary' and 'bonus' values in a dictionary
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116
output
print(max(d, key=lambda x: (d[x]['salary'], d[x]['bonus'])))
1
116
instruction
Filter Django objects by `author` with ids `1` and `2`
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117
output
Book.objects.filter(author__id=1).filter(author__id=2)
1
117
instruction
split string 'fooxyzbar' based on case-insensitive matching using string 'XYZ'
0
118
output
re.compile('XYZ', re.IGNORECASE).split('fooxyzbar')
1
118
instruction
get list of sums of neighboring integers in string `example`
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119
output
[sum(map(int, s)) for s in example.split()]
1
119
instruction
Get all the keys from dictionary `y` whose value is `1`
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120
output
[i for i in y if y[i] == 1]
1
120
instruction
converting byte string `c` in unicode string
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121
output
c.decode('unicode_escape')
1
121
instruction
unpivot first 2 columns into new columns 'year' and 'value' from a pandas dataframe `x`
0
122
output
pd.melt(x, id_vars=['farm', 'fruit'], var_name='year', value_name='value')
1
122
instruction
add key "item3" and value "3" to dictionary `default_data `
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123
output
default_data['item3'] = 3
1
123
instruction
add key "item3" and value "3" to dictionary `default_data `
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124
output
default_data.update({'item3': 3, })
1
124
instruction
add key value pairs 'item4' , 4 and 'item5' , 5 to dictionary `default_data`
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125
output
default_data.update({'item4': 4, 'item5': 5, })
1
125
instruction
Get the first and last 3 elements of list `l`
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126
output
l[:3] + l[-3:]
1
126
instruction
reset index to default in dataframe `df`
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127
output
df = df.reset_index(drop=True)
1
127
instruction
For each index `x` from 0 to 3, append the element at index `x` of list `b` to the list at index `x` of list a.
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128
output
[a[x].append(b[x]) for x in range(3)]
1
128
instruction
get canonical path of the filename `path`
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129
output
os.path.realpath(path)
1
129
instruction
check if dictionary `L[0].f.items()` is in dictionary `a3.f.items()`
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130
output
set(L[0].f.items()).issubset(set(a3.f.items()))
1
130
instruction
find all the indexes in a Numpy 2D array where the value is 1
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131
output
zip(*np.where(a == 1))
1
131
instruction
null
0
132
output
np.where(a == 1)
1
132
instruction
Collapse hierarchical column index to level 0 in dataframe `df`
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133
output
df.columns = df.columns.get_level_values(0)
1
133
instruction
create a matrix from a list `[1, 2, 3]`
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134
output
x = scipy.matrix([1, 2, 3]).transpose()
1
134
instruction
add character '@' after word 'get' in string `text`
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135
output
text = re.sub('(\\bget\\b)', '\\1@', text)
1
135
instruction
get a numpy array that contains the element wise minimum of three 3x1 arrays
0
136
output
np.array([np.arange(3), np.arange(2, -1, -1), np.ones((3,))]).min(axis=0)
1
136
instruction
add a column 'new_col' to dataframe `df` for index in range
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137
output
df['new_col'] = list(range(1, len(df) + 1))
1
137
instruction
set environment variable 'DEBUSSY' equal to 1
0
138
output
os.environ['DEBUSSY'] = '1'
1
138
instruction
Get a environment variable `DEBUSSY`
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139
output
print(os.environ['DEBUSSY'])
1
139
instruction
set environment variable 'DEBUSSY' to '1'
0
140
output
os.environ['DEBUSSY'] = '1'
1
140
instruction
update dictionary `b`, overwriting values where keys are identical, with contents of dictionary `d`
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141
output
b.update(d)
1
141
instruction
get all the values in column `b` from pandas data frame `df`
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142
output
df['b']
1
142
instruction
make a line plot with errorbars, `ebar`, from data `x, y, err` and set color of the errorbars to `y` (yellow)
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143
output
ebar = plt.errorbar(x, y, yerr=err, ecolor='y')
1
143
instruction
find all files with extension '.c' in directory `folder`
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144
output
results += [each for each in os.listdir(folder) if each.endswith('.c')]
1
144
instruction
add unicode string '1' to UTF-8 decoded string '\xc2\xa3'
0
145
output
print('\xc2\xa3'.decode('utf8') + '1')
1
145
instruction
lower-case the string obtained by replacing the occurrences of regex pattern '(?<=[a-z])([A-Z])' in string `s` with eplacement '-\\1'
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146
output
re.sub('(?<=[a-z])([A-Z])', '-\\1', s).lower()
1
146
instruction
null
0
147
output
os.system('ulimit -s unlimited; some_executable')
1
147
instruction
format a string `num` using string formatting
0
148
output
"""{0:.3g}""".format(num)
1
148
instruction
append the first element of array `a` to array `a`
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149
output
numpy.append(a, a[0])
1
149