Datasets:

ruanchaves
/

binkley

index int32 0 2.44k	identifier stringlengths 3 30	segmentation stringlengths 3 46
0	init_g16_i	init _ g 16 _ i
1	xGetJobStaus	x Get Job Staus
2	clipWidget	clip Widget
3	pwce	pwce
4	dialog_cb	dialog _ cb
5	LL_DEBUG	LL _ DEBUG
6	init_reg_q_close	init _ reg _ q _ close
7	coperturaTot	copertura Tot
8	mDOMEventLevel	m DOM Event Level
9	BSD_REGEX	BSD _ REGEX
10	var_defend	var _ defend
11	printdir	print dir
12	PS_COMPLETE	PS _ COMPLETE
13	da_str_cut_suffix	da _ str _ cut _ suffix
14	metaKeyArg	meta Key Arg
15	IDC_SPIN_VSCALE	IDC _ SPIN _ V SCALE
16	error_mark_node	error _ mark _ node
17	updatecpu	update cpu
18	ipchat_info_infoFrame	ip chat _ info _ info Frame
19	tgseElementptr	tgse Element ptr
20	msgIsInLocalCache	msg Is In Local Cache
21	bgMeans	bg Means
22	trivNew	triv New
23	execDICTSTARTCONF	exec DICT START CONF
24	SYSTEM_AGENTS_GROUP_NAME	SYSTEM _ AGENTS _ GROUP _ NAME
25	BIT5_H	BIT 5 _ H
26	USE_GENERIC	USE _ GENERIC
27	NMEA_strings	NMEA _ strings
28	JS_XDRCString	JS _ XDRC String
29	getAllByName	get All By Name
30	StornoDialog	Storno Dialog
31	XpuGetResolution	Xpu Get Resolution
32	getInvKindName	get Inv Kind Name
33	rhs_mStartPageNum	rhs _ m Start Page Num
34	print_ident_comments	print _ ident _ comments
35	CobolKinds	Cobol Kinds
36	setActiveTarget	set Active Target
37	USE_NC_EXTENSION	USE _ NC _ EXTENSION
38	qwglDeleteContext	qwgl Delete Context
39	min_max_arg_item	min _ max _ arg _ item
40	remInvMuL	rem Inv Mu L
41	Inn_stk	Inn _ stk
42	a_explanation	a _ explanation
43	eSendBehindFront	e Send Behind Front
44	db_refresh	db _ refresh
45	tcp_print_conn	tcp _ print _ conn
46	fill_params	fill _ params
47	SECURE_RANDOM_ALGO_NAME	SECURE _ RANDOM _ ALGO _ NAME
48	filesort_limit	file sort _ limit
49	paramOrdinal	param Ordinal
50	writeCompartment	write Compartment
51	gnu_bonobo_StorageHelper_write	gnu _ bonobo _ Storage Helper _ write
52	LwCustomView	Lw Custom View
53	fThreadSendMgr	f Thread Send Mgr
54	IDS_SOCKETS_INIT_FAILED	IDS _ SOCKETS _ INIT _ FAILED
55	MAXUSERNAMELEN	MAX USERNAME LEN
56	OnChooseAppClicked	On Choose App Clicked
57	mPropertyCount	m Property Count
58	nsIScriptEventHandlerOwner	ns I Script Event Handler Owner
59	g_cond_broadcast	g _ cond _ broadcast
60	eod	eod
61	DefNodeWidth	Def Node Width
62	PK11_SetPublicKeyNickname	PK 11 _ Set Public Key Nickname
63	GetVopIntraDCVlcThr	Get Vop Intra DCVlc Thr
64	WIFSIGNALED	WIF SIGNALED
65	CSimpleKnownFileArray	C Simple Known File Array
66	SECU_PrintUTCTime	SECU _ Print UTC Time
67	m_errorstring	m _ error string
68	ConfigurationUtil_SKINS_XML	Configuration Util _ SKINS _ XML
69	PR_SENTMAIL_ENTRYID	PR _ SENT MAIL _ ENTRY ID
70	eOnDataAvail	e On Data Avail
71	groupEntResTypeHasBeenSet	group Ent Res Type Has Been Set
72	IDI_TESTPASSED	IDI _ TEST PASSED
73	Constants_amountOf	Constants _ amount Of
74	bGotCurrentCharsetSource	b Got Current Charset Source
75	ioOid	io O id
76	ZFULL_FRAGRECORD_ERROR	Z FULL _ FRAG RECORD _ ERROR
77	a_ecart	a _ ecart
78	JmiChangeSet	Jmi Change Set
79	params_CalGrayProfile	params _ Cal Gray Profile
80	mNumItems	m Num Items
81	MP4TableProperty	MP 4 Table Property
82	mPACURL	m PAC URL
83	createJMSAdapter	create JMS Adapter
84	issuerCN	issuer CN
85	wqueue	w queue
86	ID3FID_YEAR	ID 3 FID _ YEAR
87	bestbm_descent	best bm _ descent
88	EOPNOTSUPP	EOP NOT SUPP
89	CreatePopupMenu	Create Popup Menu
90	ImageToPDF	Image To PDF
91	com_player_posY	com _ player _ pos Y
92	getEn_db_id	get En _ db _ id
93	NSSTrustDomain_DisableToken	NSS Trust Domain _ Disable Token
94	FONTENCODING_EUC_JP_get	FONT ENCODING _ EUC _ JP _ get
95	isDirURI	is Dir URI
96	sndCall_addr_maxlen	snd Call _ addr _ max len
97	g_nVecVariableCount	g _ n Vec Variable Count
98	this_metaTable	this _ meta Table
99	evTimeRW	ev Time RW

End of preview. Expand in Dataset Viewer.

YAML Metadata Warning: The task_categories "structure-prediction" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

Dataset Card for Binkley

Dataset Summary

In programming languages, identifiers are tokens (also called symbols) which name language entities. Some of the kinds of entities an identifier might denote include variables, types, labels, subroutines, and packages.

Binkley is a dataset for identifier segmentation, i.e. the task of adding spaces between the words on a identifier.

Languages

C
C++
Java

Dataset Structure

Data Instances

{
    "index": 0,
    "identifier": "init_g16_i",
    "segmentation": "init _ g 16 _ i"
}

Data Fields

index: a numerical index.
identifier: the original identifier.
segmentation: the gold segmentation for the identifier.

Dataset Creation

All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: hashtag and segmentation or identifier and segmentation.
The only difference between hashtag and segmentation or between identifier and segmentation are the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields.
There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as _ , :, ~ ).
If there are any annotations for named entity recognition and other token classification tasks, they are given in a spans field.

Additional Information

Citation Information

@inproceedings{inproceedings,
author = {Lawrie, Dawn and Binkley, David and Morrell, Christopher},
year = {2010},
month = {11},
pages = {3 - 12},
title = {Normalizing Source Code Vocabulary},
journal = {Proceedings - Working Conference on Reverse Engineering, WCRE},
doi = {10.1109/WCRE.2010.10}
}

Contributions

This dataset was added by @ruanchaves while developing the hashformers library.

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Paper:

Normalizing Source Code Vocabulary

Size of downloaded dataset files:

380 kB

Size of the auto-converted Parquet files:

103 kB

Number of rows:

2,444