Datasets:

ruanchaves
/

bt11

index int32 0 20.5k	identifier stringlengths 1 30	segmentation stringlengths 1 40
0	signerinfo	signer info
1	homepath	home path
2	neighborDescent	neighbor Descent
3	OpenTypeAction	Open Type Action
4	parseSetProperty	parse Set Property
5	treeitem	tree item
6	packaged	packaged
7	nentries	n entries
8	importStatic	import Static
9	getJLCInfo	get JLC Info
10	InternalLanguageElementNode	Internal Language Element Node
11	redirect_on_not_found	redirect _ on _ not _ found
12	addExternalReferences	add External References
13	TextSymbol	Text Symbol
14	nextSynonymTable	next Synonym Table
15	TextLabelFactory	Text Label Factory
16	newKm	new Km
17	isVersioned	is Versioned
18	CounterTest	Counter Test
19	doScroll	do Scroll
20	tokenize	tokenize
21	textLayer	text Layer
22	checkResponseCode	check Response Code
23	STSWizardCreator	STS Wizard Creator
24	WaitScreenFailureCommandCD	Wait Screen Failure Command CD
25	extType	ext Type
26	tracking	tracking
27	trackMaxScore	track Max Score
28	SelectorCompletionItem	Selector Completion Item
29	ServicesTab	Services Tab
30	accessibility	accessibility
31	rsasigfield	rs asig field
32	currently	currently
33	getHasTimephasedData	get Has Timephased Data
34	SubjectPublicKeyInfo	Subject Public Key Info
35	PresentersProcessor	Presenters Processor
36	subColMasks	sub Col Masks
37	analyze	analyze
38	INPUTURI	INPUT URI
39	unregisterAutoEditVetoer	unregister Auto Edit Vetoer
40	OneOperandInstr	One Operand Instr
41	logCompleted	log Completed
42	profileServer	profile Server
43	projectxml	project xml
44	noUsableProfile2	no Usable Profile 2
45	ai	ai
46	filterchain	filter chain
47	localMaxFieldCount	local Max Field Count
48	isProgressing	is Progressing
49	getBackgroundNoInit	get Background No Init
50	reallocate	reallocate
51	mergeable	mergeable
52	keyWords	key Words
53	arrayref	array ref
54	calculatePrefixSegmentCount	calculate Prefix Segment Count
55	getSavedOopResult	get Saved Oop Result
56	handlerpc	handler pc
57	unexpandLine	un expand Line
58	INITIALISING	INITIALISING
59	reset_key_button	reset _ key _ button
60	AzURLStreamHandlerFactory	Az URL Stream Handler Factory
61	ReportXml	Report Xml
62	patternIdx	pattern Idx
63	AbstractCollectionPersister	Abstract Collection Persister
64	findMethodIndex	find Method Index
65	crttoken	crt token
66	grandparent	grandparent
67	F8	F 8
68	allClusterModules	all Cluster Modules
69	lresults	l results
70	e2	e 2
71	correlatedJoins	correlated Joins
72	PhantomReference	Phantom Reference
73	aWindowTitle	a Window Title
74	localFo	local Fo
75	COLLECTION_FACTORY	COLLECTION _ FACTORY
76	modifications	modifications
77	menuContainerType	menu Container Type
78	tilde	tilde
79	jarSuffix	jar Suffix
80	validationResult	validation Result
81	AppClientModuleController	App Client Module Controller
82	setTooltipCssClass	set Tooltip Css Class
83	javaElementDestination	java Element Destination
84	renderCommandLine	render Command Line
85	unboxing	unboxing
86	fullBuildRequired	full Build Required
87	isShowColumns	is Show Columns
88	deJar	de Jar
89	min_widths	min _ widths
90	debuggers	debuggers
91	InnerResolver	Inner Resolver
92	missingTypeNames	missing Type Names
93	content_badInitializationData	content _ bad Initialization Data
94	PerfanDataStorage	Perfan Data Storage
95	rectHeight	rect Height
96	classfields	class fields
97	firstVisibleLine	first Visible Line
98	destinationMetaData	destination Meta Data
99	inputLineCount	input Line Count

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 BT11

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.

BT11 is a dataset for identifier segmentation, i.e. the task of adding spaces between the words on a identifier.

Languages

Java

Dataset Structure

Data Instances

{
    "index": 20170,
    "identifier": "currentLineHighlight",
    "segmentation": "current Line Highlight"
}

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{butler2011improving,
  title={Improving the tokenisation of identifier names},
  author={Butler, Simon and Wermelinger, Michel and Yu, Yijun and Sharp, Helen},
  booktitle={European Conference on Object-Oriented Programming},
  pages={130--154},
  year={2011},
  organization={Springer}
}

Contributions

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

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Paper:

Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF

Size of downloaded dataset files:

3.09 MB

Size of the auto-converted Parquet files:

722 kB

Number of rows:

20,520