Datasets:

GD-ML
/

SCASRec

Tasks:

Tabular Classification

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train · 100 rows

complete_rate stringlengths 19 21	label stringlengths 13 138	navi_scene stringlengths 60 74	route_features stringlengths 616 7.77k	kdifflen stringlengths 27 3.44k	kdiffeta stringlengths 25 2.96k	kdiffhighwaylen stringlengths 23 3.33k	kdifftolllenholi stringlengths 23 3.29k	kdifflight stringlengths 23 2k	kdiff14 stringlengths 23 1.76k	kdiff15 stringlengths 23 1.71k	kdiffslowlen stringlengths 23 2.23k	kdiffcongeslen stringlengths 23 2.22k	kdiffstationallen stringlengths 23 1.76k	kdiffunknownlen stringlengths 23 1.88k	kdiffturnleft stringlengths 23 1.71k	kdiffturnright stringlengths 23 1.71k	kdiffturnleftf stringlengths 23 1.68k	kdiffturnrightf stringlengths 23 1.71k	kdiffturnleftb stringlengths 23 1.66k	kdiffturnrightb stringlengths 23 1.66k	kdiffturnuturn stringlengths 23 1.66k	kdiffvalidturnnum2 stringlengths 23 2.02k	kdiffodfamrate stringlengths 23 5.5k	kdiffavgodfamfreq stringlengths 23 6.49k	kdiffstartdistance stringlengths 25 3.19k	kdiffnonmotorlen stringclasses 19 values	ksimilarity stringlengths 52 7.67k	kbclocalwinding stringlengths 23 1.66k	kbcstarthardaction stringlengths 23 1.66k	kbcparallelroad stringlengths 23 1.66k	kbccongestionhigh stringclasses 19 values	kbcdifflenexcessive stringclasses 19 values	kbcgoaround stringlengths 23 1.66k	kbcthreebad stringlengths 23 1.66k	kbcfourbad stringlengths 23 1.66k	kbconeextremebad stringclasses 20 values	kbctwoextremebad stringlengths 23 1.66k	kbcthreeextremebad stringlengths 23 1.66k	kbcfourextremebad stringlengths 23 1.66k	diff_coverage stringlengths 23 5.31k	route_trace_overlap stringlengths 22 372	kdiffweightedfamiliarfreq stringlengths 23 5.66k	kdiffweightedfamiliarprob stringlengths 23 5.41k	kdiffavgfamfreq stringlengths 23 6.77k	kdifffamrate stringlengths 23 6.58k	kdifflineardis stringlengths 49 7.16k	click_path_pos stringclasses 19 values	value_kpathhistorystatus stringlengths 4 97.2k	value_kpathstatus stringlengths 4 97.2k	value_kpathlengthratio stringlengths 4 378k	value_kpathodist stringlengths 4 326k	value_kpathddist stringlengths 4 323k	value_kpathoposition stringlengths 4 147k	value_kpathdposition stringlengths 4 160k	value_kpathdeltaday stringlengths 4 111k	indice_fam_freq stringlengths 4 200k	indice_fam_freq_num stringlengths 7 11	links_sphdistance stringlengths 4 114k	links_length stringlengths 4 34.4k	links_dir stringlengths 4 114k	links_dir_to_d stringlengths 4 116k	links_dir_to_od stringlengths 4 116k	links_dir_enter stringlengths 4 114k	links_dir_leave stringlengths 4 114k	links_dir_delta stringlengths 4 132k	links_eta stringlengths 4 27.2k	weighted_heat_freq_feat stringlengths 25 3.6k	weighted_heat_prob_feat stringlengths 21 2.88k	long_features stringlengths 127 11.8k	group_id int64 1 1
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SCASRec: A Self-Correcting and Auto-Stopping Model for Generative Route List Recommendation

This is the dataset for our paper.
The following table contains the feature dimensions and key features of our dataset.

Feature Type	Interpretation	Shape	Some Key Features
Route Features	Used to describe each route, including static features, dynamic features, and trajectory statistical features	N * 62	The estimated time of arrival for the route The total distance length of the route
Scene Features	Represent the contextual information of route recommendation	1 * 10	Request time User familiarity with the origin and destination
Long Features	A series of route selection records arranged in chronological order	T * 31	Selected route features Unselected route features

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