Datasets:

Lettria
/

Qald9

id int64 0 74M	subject_id int64 2 14.5M	predicate stringlengths 1 287	object_id int64 0 14.5M
0	3,946,575	height note	13,492,364
1	10,347,774	winner percent	2,306,413
2	4,187,378	occupation	10,633,100
3	8,714,919	coord display	14,005,786
4	1,497,210	goals	8,145,891
5	1,614,206	penaltyscore	2,054,210
6	9,596,999	cinematography	7,135,599
7	7,375,992	spouse	6,530,085
8	9,079,397	operator	263,504
9	1,469,756	RD1-team	7,100,754
10	8,213,744	route	1,643,797
11	8,210,128	OriginalAirDate	1,444,363
12	11,828,681	surface of runway	12,842,575
13	4,353,692	passedbody	11,364,280
14	1,544,452	stadium	5,597,388
15	1,605,165	last	11,290,959
16	13,710,543	pushpin map	7,038,594
17	8,563,567	name	8,563,567
18	1,588,436	goals	3,917,429
19	8,047,641	Longitude	660,559
20	7,228,695	Header caption	13,808,591
21	9,787,480	coord display	14,005,786
22	3,150,809	performer	11,910,507
23	5,469,641	organisationposition	11,374,304
24	11,563,683	associated band	12,336,345
25	6,488,197	subdivision type	8,215,336
26	11,465,910	pushpin map caption	8,266,164
27	6,392,867	latm	1,934,060
28	3,151,065	released	3,351,281
29	10,725,974	headquarters	11,987,499
30	1,554,700	club	7,906,795
31	12,799,082	neighboring municipality	4,105,867
32	11,327,783	orbit eccentricity	882,983
33	7,035,715	percentage	1,829,174
34	12,410,343	This album	12,410,342
35	5,060,999	race	4,294,615
36	8,202,247	LicensedTitle	11,617,422
37	1,473,111	in	1,065,664
38	1,563,221	c	10,417,961
39	1,575,809	GA	1,375,758
40	11,608,063	colour	3,728,278
41	6,187,918	genus	6,187,915
42	5,000,304	alias	8,104,807
43	5,466,597	title	7,081,194
44	9,149,679	title	4,611,353
45	8,206,135	KanjiTitle	14,364,533
46	5,981,215	SCC	1,494,413
47	6,459,158	lat direction	9,318,316
48	1,601,917	team-width	1,522,235
49	1,610,650	rivals stars	2,054,210
50	11,990,479	ink	14,241,563
51	8,402,606	season	1,537,099
52	7,735,762	position	9,011,952
53	8,383,236	current members	5,979,978
54	1,576,940	RD2-team	2,610,762
55	6,783,119	Length	1,707,149
56	1,609,977	time	1,881,392
57	9,391,626	Caption	10,824,618
58	3,699,004	birth place	13,426,896
59	1,486,742	RD2-score	2,233,577
60	11,342,339	Game Engine	12,988,304
61	1,426,484	First Rider Sidecar Country	13,356,417
62	3,682,225	hm13-stat	13,885,158
63	7,040,589	name	7,040,589
64	8,205,117	nat	5,344,152
65	8,255,840	religion	10,381,466
66	13,600,403	title	13,600,403
67	11,973,318	country	12,964,191
68	1,576,112	shots	1,862,729
69	3,432,280	establishment	1,554,660
70	3,567,191	released	1,425,188
71	2,829,442	percentage	1,004,511
72	8,246,190	percentage	1,874,860
73	8,250,675	latd	1,827,726
74	5,285,713	votes	1,872,705
75	1,549,833	club	6,984,493
76	11,980,132	birth place	6,518,559
77	3,177,842	imagesize	1,221,136
78	1,464,316	title	9,758,097
79	1,487,647	goals	8,750,488
80	1,528,225	second round	7,377,231
81	7,733,345	family	13,672,064
82	10,705,559	governing body	8,259,669
83	13,044,377	currentdoublesranking	2,329,860
84	12,945,713	runtime (s)	1,629,187
85	8,215,282	num	1,773,290
86	7,879,683	subdivision type	3,470,848
87	1,621,588	stadium	7,876,239
88	12,798,334	division	3,120,418
89	1,617,091	RD2-seed	1,218,824
90	10,199,063	state	5,139,904
91	5,143,580	silverNOC	4,069,401
92	8,455,361	Jan precipitation days	1,109,060
93	1,370,003	date	1,462,066
94	11,983,552	is part of	6,264,959
95	13,204,953	death date	1,415,178
96	2,843,595	death date	1,452,913
97	8,607,767	lats	1,919,706
98	12,821,245	IUBMB EC number	1,890,458
99	6,488,078	pushpin map caption	8,266,271

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Qald9 Dataset

Three splits with different schemas, mapped to distinct dataset sub-configurations:

test: QA pairs — id, question, answer, graph.
nodes: Global graph nodes — id, label.
edges: Global graph edges — id, subject_id, predicate, object_id.

How to load

from datasets import load_dataset

test_split = load_dataset('Lettria/Qald9', name='test')
nodes_split = load_dataset('Lettria/Qald9', name='nodes')
edges_split = load_dataset('Lettria/Qald9', name='edges')

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