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348196-52
Create list `instancelist` containing 29 objects of type MyClass
instancelist = [MyClass() for i in range(29)]
[ "python.library.functions#range" ]
VAR_STR = [MyClass() for i in range(29)]
conala
5744980-30
Taking the results of a bash command "awk '{print $10, $11}' test.txt > test2.txt"
os.system("awk '{print $10, $11}' test.txt > test2.txt")
[ "python.library.os#os.system" ]
os.system('VAR_STR')
conala
16739319-24
selenium wait for driver `driver` 60 seconds before throwing a NoSuchElementExceptions exception
driver.implicitly_wait(60)
[]
VAR_STR.implicitly_wait(60)
conala
16739319-56
selenium webdriver switch to frame 'frameName'
driver.switch_to_frame('frameName')
[]
driver.switch_to_frame('VAR_STR')
conala
39870642-93
Save plot `plt` as png file 'filename.png'
plt.savefig('filename.png')
[ "matplotlib.figure_api#matplotlib.figure.Figure.savefig" ]
VAR_STR.savefig('VAR_STR')
conala
39870642-22
Save matplotlib graph to image file `filename.png` at a resolution of `300 dpi`
plt.savefig('filename.png', dpi=300)
[ "matplotlib.figure_api#matplotlib.figure.Figure.savefig" ]
plt.savefig('VAR_STR', dpi=300)
conala
20062565-45
search for regex pattern 'Test(.*)print' in string `testStr` including new line character '\n'
re.search('Test(.*)print', testStr, re.DOTALL)
[ "python.library.re#re.search" ]
re.search('VAR_STR', VAR_STR, re.DOTALL)
conala
42364992-94
Enclose numbers in quotes in a string `This is number 1 and this is number 22`
re.sub('(\\d+)', '"\\1"', 'This is number 1 and this is number 22')
[ "python.library.re#re.sub" ]
re.sub('(\\d+)', '"\\1"', 'VAR_STR')
conala
4383571-75
Importing file `file` from folder '/path/to/application/app/folder'
sys.path.insert(0, '/path/to/application/app/folder') import file
[ "numpy.reference.generated.numpy.insert" ]
sys.path.insert(0, 'VAR_STR') import VAR_STR
conala
11703064-52
append the sum of each tuple pair in the grouped list `list1` and list `list2` elements to list `list3`
list3 = [(a + b) for a, b in zip(list1, list2)]
[ "python.library.functions#zip" ]
VAR_STR = [(a + b) for a, b in zip(VAR_STR, VAR_STR)]
conala
25540259-67
remove frame of legend in plot `plt`
plt.legend(frameon=False)
[ "matplotlib.legend_api#matplotlib.legend.Legend" ]
VAR_STR.legend(frameon=False)
conala
16050952-62
remove the punctuation '!', '.', ':' from a string `asking`
out = ''.join(c for c in asking if c not in ('!', '.', ':'))
[ "python.library.stdtypes#str.join" ]
out = ''.join(c for c in VAR_STR if c not in ('VAR_STR', 'VAR_STR', 'VAR_STR'))
conala
12096252-61
use a list of values `[3,6]` to select rows from a pandas dataframe `df`'s column 'A'
df[df['A'].isin([3, 6])]
[ "numpy.reference.generated.numpy.isin" ]
VAR_STR[VAR_STR['A'].isin([3, 6])]
conala
1179305-61
Parse a file `sample.xml` using expat parsing in python 3
parser.ParseFile(open('sample.xml', 'rb'))
[ "python.library.urllib.request#open" ]
parser.ParseFile(open('VAR_STR', 'rb'))
conala
22229255-65
match zero-or-more instances of lower case alphabet characters in a string `f233op `
re.findall('([a-z]*)', 'f233op')
[ "python.library.re#re.findall" ]
re.findall('([a-z]*)', 'VAR_STR')
conala
22229255-56
match zero-or-more instances of lower case alphabet characters in a string `f233op `
re.findall('([a-z])*', 'f233op')
[ "python.library.re#re.findall" ]
re.findall('([a-z])*', 'VAR_STR')
conala
209513-92
Convert hex string "deadbeef" to integer
int('deadbeef', 16)
[ "python.library.functions#int" ]
int('VAR_STR', 16)
conala
209513-93
Convert hex string "a" to integer
int('a', 16)
[ "python.library.functions#int" ]
int('VAR_STR', 16)
conala
209513-94
Convert hex string "0xa" to integer
int('0xa', 16)
[ "python.library.functions#int" ]
int('VAR_STR', 16)
conala
209513-47
Convert hex string `s` to integer
int(s, 16)
[ "python.library.functions#int" ]
int(VAR_STR, 16)
conala
209513-79
Convert hex string `hexString` to int
int(hexString, 16)
[ "python.library.functions#int" ]
int(VAR_STR, 16)
conala
1400608-13
empty a list `lst`
del lst[:]
[]
del VAR_STR[:]
conala
1400608-91
empty a list `lst`
del lst1[:]
[]
del lst1[:]
conala
1400608-86
empty a list `lst`
lst[:] = []
[]
VAR_STR[:] = []
conala
1400608-67
empty a list `alist`
alist[:] = []
[]
VAR_STR[:] = []
conala
15740236-74
encode unicode string '\xc5\xc4\xd6' to utf-8 code
print('\xc5\xc4\xd6'.encode('UTF8'))
[ "python.library.stdtypes#str.encode" ]
print('VAR_STR'.encode('UTF8'))
conala
41648246-16
solve for the least squares' solution of matrices `a` and `b`
np.linalg.solve(np.dot(a.T, a), np.dot(a.T, b))
[ "numpy.reference.generated.numpy.dot", "numpy.reference.generated.numpy.linalg.solve" ]
np.linalg.solve(np.dot(VAR_STR.T, VAR_STR), np.dot(VAR_STR.T, VAR_STR))
conala
3820312-13
create a file 'filename' with each tuple in the list `mylist` written to a line
open('filename', 'w').write('\n'.join('%s %s' % x for x in mylist))
[ "python.library.urllib.request#open", "python.library.stdtypes#str.join", "python.library.os#os.write" ]
open('VAR_STR', 'w').write('\n'.join('%s %s' % x for x in VAR_STR))
conala
7351270-100
print numbers in list `list` with precision of 3 decimal places
print('[%s]' % ', '.join('%.3f' % val for val in list))
[ "python.library.stdtypes#str.join" ]
print('[%s]' % ', '.join('%.3f' % val for val in VAR_STR))
conala
7351270-60
format print output of list of floats `l` to print only up to 3 decimal points
print('[' + ', '.join('%5.3f' % v for v in l) + ']')
[ "python.library.stdtypes#str.join" ]
print('[' + ', '.join('%5.3f' % v for v in VAR_STR) + ']')
conala
7351270-62
print a list of floating numbers `l` using string formatting
print([('%5.3f' % val) for val in l])
[]
print([('%5.3f' % val) for val in VAR_STR])
conala
14750675-12
delete letters from string '12454v'
"""""".join(filter(str.isdigit, '12454v'))
[ "python.library.functions#filter", "python.library.stdtypes#str.join" ]
"""""".join(filter(str.isdigit, 'VAR_STR'))
conala
4508155-69
Get a md5 hash from string `thecakeisalie`
k = hashlib.md5('thecakeisalie').hexdigest()
[ "python.library.hashlib#hashlib.hash.hexdigest" ]
k = hashlib.md5('VAR_STR').hexdigest()
conala
36296993-71
replace string 'in.' with ' in. ' in dataframe `df` column 'a'
df['a'] = df['a'].str.replace('in.', ' in. ')
[ "python.library.stdtypes#str.replace" ]
VAR_STR['VAR_STR'] = VAR_STR['VAR_STR'].str.replace('VAR_STR', ' in. ')
conala
1246444-16
convert string `x' to dictionary splitted by `=` using list comprehension
dict([x.split('=') for x in s.split()])
[ "python.library.stdtypes#dict", "python.library.stdtypes#str.split" ]
dict([x.split('=') for x in s.split()])
conala
12168648-98
add a column 'new_col' to dataframe `df` for index in range
df['new_col'] = list(range(1, len(df) + 1))
[ "python.library.functions#len", "python.library.functions#range", "python.library.functions#list" ]
VAR_STR['VAR_STR'] = list(range(1, len(VAR_STR) + 1))
conala
1790520-32
apply logical operator 'AND' to all elements in list `a_list`
all(a_list)
[ "python.library.functions#all" ]
all(VAR_STR)
conala
32996293-30
get a list of booleans `z` that shows wether the corresponding items in list `x` and `y` are equal
z = [(i == j) for i, j in zip(x, y)]
[ "python.library.functions#zip" ]
VAR_STR = [(i == j) for i, j in zip(VAR_STR, VAR_STR)]
conala
32996293-89
create a list which indicates whether each element in `x` and `y` is identical
[(x[i] == y[i]) for i in range(len(x))]
[ "python.library.functions#len", "python.library.functions#range" ]
[(VAR_STR[i] == VAR_STR[i]) for i in range(len(VAR_STR))]
conala
3887469-9
convert currency string `dollars` to decimal `cents_int`
cents_int = int(round(float(dollars.strip('$')) * 100))
[ "python.library.functions#float", "python.library.functions#int", "python.library.functions#round", "python.library.stdtypes#str.strip" ]
VAR_STR = int(round(float(VAR_STR.strip('$')) * 100))
conala
17734779-42
sort list `users` using values associated with key 'id' according to elements in list `order`
users.sort(key=lambda x: order.index(x['id']))
[ "pandas.reference.api.pandas.index.sort" ]
VAR_STR.sort(key=lambda x: VAR_STR.index(x['VAR_STR']))
conala
17734779-50
sort a python list of dictionaries `users` by a given list `order` of ids 'id' with the desired order
users.sort(key=lambda x: order.index(x['id']))
[ "pandas.reference.api.pandas.index.sort" ]
VAR_STR.sort(key=lambda x: VAR_STR.index(x['VAR_STR']))
conala
7658932-91
Get all indexes of a letter `e` from a string `word`
[index for index, letter in enumerate(word) if letter == 'e']
[ "python.library.functions#enumerate" ]
[index for index, letter in enumerate(VAR_STR) if letter == 'VAR_STR']
conala
18609153-66
format parameters 'b' and 'a' into plcaeholders in string "{0}\\w{{2}}b{1}\\w{{2}}quarter"
"""{0}\\w{{2}}b{1}\\w{{2}}quarter""".format('b', 'a')
[ "python.library.functions#format" ]
"""VAR_STR""".format('VAR_STR', 'VAR_STR')
conala
845058-51
get line count of file 'myfile.txt'
sum((1 for line in open('myfile.txt')))
[ "python.library.functions#sum", "python.library.urllib.request#open" ]
sum(1 for line in open('VAR_STR'))
conala
845058-70
get line count of file `filename`
def bufcount(filename): f = open(filename) lines = 0 buf_size = (1024 * 1024) read_f = f.read buf = read_f(buf_size) while buf: lines += buf.count('\n') buf = read_f(buf_size) return lines
[ "python.library.urllib.request#open" ]
def bufcount(VAR_STR): f = open(VAR_STR) lines = 0 buf_size = 1024 * 1024 read_f = f.read buf = read_f(buf_size) while buf: lines += buf.count('\n') buf = read_f(buf_size) return lines
conala
6714826-24
Determine the byte length of a utf-8 encoded string `s`
return len(s.encode('utf-8'))
[ "python.library.functions#len", "python.library.stdtypes#str.encode" ]
return len(VAR_STR.encode('utf-8'))
conala
5373474-77
specify multiple positional arguments with argparse
parser.add_argument('input', nargs='+')
[ "python.library.argparse#argparse.ArgumentParser.add_argument" ]
parser.add_argument('input', nargs='+')
conala
28925267-60
delete every 8th column in a numpy array 'a'.
np.delete(a, list(range(0, a.shape[1], 8)), axis=1)
[ "numpy.reference.generated.numpy.delete", "python.library.functions#range", "python.library.functions#list" ]
np.delete(VAR_STR, list(range(0, VAR_STR.shape[1], 8)), axis=1)
conala
3878555-86
Replace repeated instances of a character '*' with a single instance in a string 'text'
re.sub('\\*\\*+', '*', text)
[ "python.library.re#re.sub" ]
re.sub('\\*\\*+', 'VAR_STR', VAR_STR)
conala
3878555-86
replace repeated instances of "*" with a single instance of "*"
re.sub('\\*+', '*', text)
[ "python.library.re#re.sub" ]
re.sub('\\*+', 'VAR_STR', text)
conala
23145240-59
split elements of a list `l` by '\t'
[i.partition('\t')[-1] for i in l if '\t' in i]
[ "python.library.stdtypes#str.partition" ]
[i.partition('VAR_STR')[-1] for i in VAR_STR if 'VAR_STR' in i]
conala
1731346-40
get two random records from model 'MyModel' in Django
MyModel.objects.order_by('?')[:2]
[]
VAR_STR.objects.order_by('?')[:2]
conala
317413-56
get value of first child of xml node `name`
name[0].firstChild.nodeValue
[]
VAR_STR[0].firstChild.nodeValue
conala
10618586-67
Convert a hex string `437c2123 ` according to ascii value.
"""437c2123""".decode('hex')
[ "python.library.stdtypes#bytearray.decode" ]
"""VAR_STR""".decode('hex')
conala
2755950-13
Get all `a` tags where the text starts with value `some text` using regex
doc.xpath("//a[starts-with(text(),'some text')]")
[]
doc.xpath("//a[starts-with(text(),'some text')]")
conala
10974932-69
split string `str1` on one or more spaces with a regular expression
re.split(' +', str1)
[ "python.library.re#re.split" ]
re.split(' +', VAR_STR)
conala
10974932-59
python split string based on regular expression
re.findall('\\S+', str1)
[ "python.library.re#re.findall" ]
re.findall('\\S+', str1)
conala
3774571-10
BeautifulSoup find all tags with attribute 'name' equal to 'description'
soup.findAll(attrs={'name': 'description'})
[ "python.library.re#re.findall" ]
soup.findAll(attrs={'VAR_STR': 'VAR_STR'})
conala
23566515-25
get the dot product of two one dimensional numpy arrays
np.dot(a[:, (None)], b[(None), :])
[ "numpy.reference.generated.numpy.dot" ]
np.dot(a[:, (None)], b[(None), :])
conala
23566515-22
multiplication of two 1-dimensional arrays in numpy
np.outer(a, b)
[ "numpy.reference.generated.numpy.outer" ]
np.outer(a, b)
conala
8785554-77
insert a list `k` at the front of list `a`
a.insert(0, k)
[ "numpy.reference.generated.numpy.insert" ]
VAR_STR.insert(0, VAR_STR)
conala
8785554-42
insert elements of list `k` into list `a` at position `n`
a = a[:n] + k + a[n:]
[]
VAR_STR = VAR_STR[:VAR_STR] + VAR_STR + VAR_STR[VAR_STR:]
conala
17106819-22
get values from a dictionary `my_dict` whose key contains the string `Date`
[v for k, v in list(my_dict.items()) if 'Date' in k]
[ "python.library.functions#list", "python.library.stdtypes#dict.items" ]
[v for k, v in list(VAR_STR.items()) if 'VAR_STR' in k]
conala
9969684-48
Print variable `count` and variable `conv` with space string ' ' in between
print(str(count) + ' ' + str(conv))
[ "python.library.stdtypes#str" ]
print(str(VAR_STR) + ' ' + str(VAR_STR))
conala
10805589-34
convert JSON string '2012-05-29T19:30:03.283Z' into a DateTime object using format '%Y-%m-%dT%H:%M:%S.%fZ'
datetime.datetime.strptime('2012-05-29T19:30:03.283Z', '%Y-%m-%dT%H:%M:%S.%fZ')
[ "python.library.datetime#datetime.datetime.strptime" ]
datetime.datetime.strptime('VAR_STR', 'VAR_STR')
conala
17577727-88
decode string `content` to UTF-8 code
print(content.decode('utf8'))
[ "python.library.stdtypes#bytearray.decode" ]
print(VAR_STR.decode('utf8'))
conala
17757450-20
convert list `data` into a string of its elements
print(''.join(map(str, data)))
[ "python.library.functions#map", "python.library.stdtypes#str.join" ]
print(''.join(map(str, VAR_STR)))
conala
11584773-84
sort list `lst` in descending order based on the second item of each tuple in it
lst.sort(key=lambda x: x[2], reverse=True)
[ "python.library.stdtypes#list.sort" ]
VAR_STR.sort(key=lambda x: x[2], reverse=True)
conala
20078816-77
Replace non-ASCII characters in string `text` with a single space
re.sub('[^\\x00-\\x7F]+', ' ', text)
[ "python.library.re#re.sub" ]
re.sub('[^\\x00-\\x7F]+', ' ', VAR_STR)
conala
34338341-12
get all digits in a string `s` after a '[' character
re.findall('\\d+(?=[^[]+$)', s)
[ "python.library.re#re.findall" ]
re.findall('\\d+(?=[^[]+$)', VAR_STR)
conala
38251245-5
create a list of tuples which contains number 9 and the number before it, for each occurrence of 9 in the list 'myList'
[(x, y) for x, y in zip(myList, myList[1:]) if y == 9]
[ "python.library.functions#zip" ]
[(x, y) for x, y in zip(VAR_STR, VAR_STR[1:]) if y == 9]
conala
2186656-7
remove all instances of [1, 1] from list `a`
a[:] = [x for x in a if x != [1, 1]]
[]
VAR_STR[:] = [x for x in VAR_STR if x != [1, 1]]
conala
2186656-86
remove all instances of `[1, 1]` from a list `a`
[x for x in a if x != [1, 1]]
[]
[x for x in VAR_STR if x != [VAR_STR]]
conala
716477-33
Convert nested list `x` into a flat list
[j for i in x for j in i]
[]
[j for i in VAR_STR for j in i]
conala
716477-54
get each value from a list of lists `a` using itertools
print(list(itertools.chain.from_iterable(a)))
[ "python.library.itertools#itertools.chain.from_iterable", "python.library.functions#list" ]
print(list(itertools.chain.from_iterable(VAR_STR)))
conala
2917372-41
get the indices of tuples in list of tuples `L` where the first value is 53
[i for i, v in enumerate(L) if v[0] == 53]
[ "python.library.functions#enumerate" ]
[i for i, v in enumerate(VAR_STR) if v[0] == 53]
conala
5882405-43
convert string '2011221' into a DateTime object using format '%Y%W%w'
datetime.strptime('2011221', '%Y%W%w')
[ "python.library.datetime#datetime.datetime.strptime" ]
datetime.strptime('VAR_STR', 'VAR_STR')
conala
4627981-39
Create a dictionary from string `e` separated by `-` and `,`
dict((k, int(v)) for k, v in (e.split(' - ') for e in s.split(',')))
[ "python.library.functions#int", "python.library.stdtypes#dict", "python.library.stdtypes#str.split" ]
dict((k, int(v)) for k, v in (VAR_STR.split(' - ') for VAR_STR in s.split('VAR_STR')) )
conala
24492327-75
insert directory './path/to/your/modules/' to current directory
sys.path.insert(0, './path/to/your/modules/')
[ "numpy.reference.generated.numpy.insert" ]
sys.path.insert(0, 'VAR_STR')
conala
17608210-91
Sort a list of strings 'words' such that items starting with 's' come first.
sorted(words, key=lambda x: 'a' + x if x.startswith('s') else 'b' + x)
[ "python.library.functions#sorted", "python.library.stdtypes#str.startswith" ]
sorted(VAR_STR, key=lambda x: 'a' + x if x.startswith('VAR_STR') else 'b' + x)
conala
21804935-73
execute a mv command `mv /home/somedir/subdir/* somedir/` in subprocess
subprocess.call('mv /home/somedir/subdir/* somedir/', shell=True)
[ "python.library.subprocess#subprocess.call" ]
subprocess.call('VAR_STR', shell=True)
conala
21804935-87
How to use the mv command in Python with subprocess
subprocess.call('mv /home/somedir/subdir/* somedir/', shell=True)
[ "python.library.subprocess#subprocess.call" ]
subprocess.call('mv /home/somedir/subdir/* somedir/', shell=True)
conala
40273313-48
use regex pattern '^12(?=.{4}$)' to remove digit 12 if followed by 4 other digits in column `c_contofficeID` of dataframe `df`
df.c_contofficeID.str.replace('^12(?=.{4}$)', '')
[ "pandas.reference.api.pandas.dataframe.replace" ]
VAR_STR.VAR_STR.str.replace('VAR_STR', '')
conala
30015665-50
get the platform OS name
platform.system()
[ "python.library.platform#platform.system" ]
platform.system()
conala
31650399-37
find all digits between two characters `\xab` and `\xbb`in a string `text`
print(re.findall('\\d+', '\n'.join(re.findall('\xab([\\s\\S]*?)\xbb', text))))
[ "python.library.re#re.findall", "python.library.stdtypes#str.join" ]
print(re.findall('\\d+', '\n'.join(re.findall('«([\\s\\S]*?)»', VAR_STR))))
conala
8898294-36
convert utf-8 with bom string `s` to utf-8 with no bom `u`
u = s.decode('utf-8-sig')
[ "python.library.stdtypes#bytearray.decode" ]
VAR_STR = VAR_STR.decode('utf-8-sig')
conala
11174790-90
convert unicode string '\xd0\xbc\xd0\xb0\xd1\x80\xd0\xba\xd0\xb0' to byte string
'\xd0\xbc\xd0\xb0\xd1\x80\xd0\xba\xd0\xb0'.encode('latin-1')
[ "python.library.stdtypes#str.encode" ]
"""VAR_STR""".encode('latin-1')
conala
4843158-40
get a list of items from the list `some_list` that contain string 'abc'
matching = [s for s in some_list if 'abc' in s]
[]
matching = [s for s in VAR_STR if 'VAR_STR' in s]
conala
4605439-78
swap each pair of characters in string `s`
"""""".join([s[x:x + 2][::-1] for x in range(0, len(s), 2)])
[ "python.library.functions#len", "python.library.functions#range", "python.library.stdtypes#str.join" ]
"""""".join([VAR_STR[x:x + 2][::-1] for x in range(0, len(VAR_STR), 2)])
conala
7503241-31
django return a QuerySet list containing the values of field 'eng_name' in model `Employees`
Employees.objects.values_list('eng_name', flat=True)
[]
VAR_STR.objects.values_list('VAR_STR', flat=True)
conala
11280536-19
sum elements at the same index of each list in list `lists`
map(sum, zip(*lists))
[ "python.library.functions#zip", "python.library.functions#map" ]
map(sum, zip(*VAR_STR))
conala
899103-24
writing items in list `thelist` to file `thefile`
for item in thelist: thefile.write(('%s\n' % item))
[ "python.library.os#os.write" ]
for item in VAR_STR: VAR_STR.write('%s\n' % item)
conala
899103-78
writing items in list `thelist` to file `thefile`
for item in thelist: pass
[]
for item in VAR_STR: pass
conala
899103-57
serialize `itemlist` to file `outfile`
pickle.dump(itemlist, outfile)
[ "python.library.pickle#pickle.dump" ]
pickle.dump(VAR_STR, VAR_STR)
conala
899103-77
writing items in list `itemlist` to file `outfile`
outfile.write('\n'.join(itemlist))
[ "python.library.stdtypes#str.join", "python.library.os#os.write" ]
VAR_STR.write('\n'.join(VAR_STR))
conala
13295735-56
replace all the nan values with 0 in a pandas dataframe `df`
df.fillna(0)
[ "pandas.reference.api.pandas.dataframe.fillna" ]
VAR_STR.fillna(0)
conala
12575421-53
convert a 1d `A` array to a 2d array `B`
B = np.reshape(A, (-1, 2))
[ "numpy.reference.generated.numpy.reshape" ]
VAR_STR = np.reshape(VAR_STR, (-1, 2))
conala
23612271-34
a sequence of empty lists of length `n`
[[] for _ in range(n)]
[ "python.library.functions#range" ]
[[] for _ in range(VAR_STR)]
conala
10592674-55
update a list `l1` dictionaries with a key `count` and value from list `l2`
[dict(d, count=n) for d, n in zip(l1, l2)]
[ "python.library.functions#zip", "python.library.stdtypes#dict" ]
[dict(d, VAR_STR=n) for d, n in zip(VAR_STR, VAR_STR)]
conala

Dataset Summary

This is the re-split of CoNaLa dataset. For each code snippet in the dev and test set, at least one function is held out from the training set. This split aims at testing a code generation model's capacity in generating unseen functions We further make sure that examples from the same StackOverflow post (same question_id before -) are in the same split.

Supported Tasks and Leaderboards

This dataset is used to evaluate code generations.

Languages

English - Python code.

Dataset Structure

dataset = load_dataset("neulab/docpromting-conala")
DatasetDict({
    train: Dataset({
        features: ['nl', 'cmd', 'question_id', 'cmd_name', 'oracle_man', 'canonical_cmd'],
        num_rows: 2135
    })
    test: Dataset({
        features: ['nl', 'cmd', 'question_id', 'cmd_name', 'oracle_man', 'canonical_cmd'],
        num_rows: 543
    })
    validation: Dataset({
        features: ['nl', 'cmd', 'question_id', 'cmd_name', 'oracle_man', 'canonical_cmd'],
        num_rows: 201
    })
})
})

code_docs = load_dataset("neulab/docprompting-conala", "docs")
DatasetDict({
    train: Dataset({
        features: ['doc_id', 'doc_content'],
        num_rows: 34003
    })
})

Data Fields

train/dev/test:

  • nl: The natural language intent
  • cmd: The reference code snippet
  • question_id: x-ywhere x is the StackOverflow post ID
  • oracle_man: The doc_id of the functions used in the reference code snippet. The corresponding contents are in doc split
  • canonical_cmd: The canonical version reference code snippet

docs:

  • doc_id: the id of a doc
  • doc_content: the content of the doc

Dataset Creation

The dataset was crawled from Stack Overflow, automatically filtered, then curated by annotators. For more details, please refer to the original paper

Citation Information

@article{zhou2022doccoder,
  title={DocCoder: Generating Code by Retrieving and Reading Docs},
  author={Zhou, Shuyan and Alon, Uri and Xu, Frank F and JIang, Zhengbao and Neubig, Graham},
  journal={arXiv preprint arXiv:2207.05987},
  year={2022}
}
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