Datasets:

Lettria
/

Qald9

id int64 0 74.1M	subject_id int64 11 14.5M	predicate stringlengths 1 287 ⌀	object_id int64 0 14.5M
0	2,063,695	height note	14,107,552
1	10,422,856	winner percent	6,858,670
2	7,581,194	occupation	6,530,962
3	1,437,423	coord display	8,477,813
4	4,479,056	goals	512,990
5	6,755,431	penaltyscore	809,311
6	9,898,226	cinematography	4,916,671
7	9,044,135	spouse	2,396,891
8	11,578,696	operator	12,384,987
9	7,554,856	RD1-team	4,253,184
10	7,908,016	route	7,188,480
11	6,668,547	OriginalAirDate	7,577,883
12	4,502,306	surface of runway	5,111,793
13	5,854,207	passedbody	13,932,402
14	3,439,166	stadium	12,123,269
15	3,090,318	last	7,123,903
16	6,303,155	pushpin map	1,716,839
17	4,608,457	name	4,608,457
18	9,248,404	goals	8,204,959
19	14,416,762	Longitude	3,445,977
20	10,423,736	Header caption	14,054,253
21	5,511,015	coord display	8,477,813
22	698,185	performer	1,764,692
23	299,172	organisationposition	5,618,324
24	5,370,104	associated band	6,949,605
25	14,036,220	subdivision type	667,968
26	4,265,334	pushpin map caption	845,464
27	2,453,109	latm	5,778,700
28	8,077,518	released	11,373,834
29	5,082,055	headquarters	7,853,559
30	4,652,474	club	10,722,457
31	10,075,849	neighboring municipality	12,501,300
32	5,845,602	orbit eccentricity	9,410,130
33	4,069,155	percentage	14,437,229
34	11,771,278	This album	12,019,575
35	3,152,889	race	2,734,997
36	8,695,356	LicensedTitle	6,947,920
37	6,918,779	in	10,987,453
38	1,840,795	c	11,001,168
39	8,436,979	GA	1,623,053
40	5,761,332	colour	6,700,045
41	13,231,376	genus	13,238,930
42	1,365,026	alias	13,623,890
43	2,480,096	title	703,224
44	6,742,170	title	12,873,612
45	5,075,540	KanjiTitle	7,138,972
46	13,280,763	SCC	4,229,248
47	6,343,936	lat direction	5,642,486
48	13,434,734	team-width	5,319,174
49	12,633,821	rivals stars	809,311
50	13,828,982	ink	6,417,849
51	10,722,693	season	9,684,726
52	11,250,308	position	12,902,392
53	12,027,598	current members	4,549,027
54	14,153,903	RD2-team	9,550,840
55	13,366,464	Length	8,015,230
56	1,211,759	time	3,248,060
57	503,691	Caption	6,274,104
58	3,598,387	birth place	3,317,897
59	6,298,314	RD2-score	8,811,955
60	5,072,075	Game Engine	7,240,526
61	11,484,708	First Rider Sidecar Country	7,530,972
62	2,422,385	hm13-stat	1,199,264
63	4,627,392	name	4,627,392
64	10,285,440	nat	6,423,477
65	12,761,092	religion	9,780,182
66	7,638,464	title	7,638,464
67	6,753,558	country	4,388,709
68	10,645,919	shots	2,972,257
69	11,407,676	establishment	6,023,250
70	9,637,167	released	5,082,423
71	3,113,388	percentage	8,364,301
72	6,120,752	percentage	12,085,904
73	6,013,227	latd	497,728
74	12,127,801	votes	13,307,929
75	5,245,328	club	2,120,153
76	2,682,581	birth place	7,480,784
77	3,959,105	imagesize	14,280,887
78	1,239,676	title	13,357,356
79	2,536,572	goals	6,298,331
80	8,545,981	second round	9,338,114
81	1,196,020	family	10,454,388
82	14,296,590	governing body	2,391,954
83	2,184,860	currentdoublesranking	3,402,882
84	5,948,620	runtime (s)	6,325,197
85	382,988	num	13,649,708
86	794,007	subdivision type	11,623,097
87	10,452,224	stadium	6,883,523
88	58,608	division	12,671,490
89	14,141,152	RD2-seed	1,302,676
90	608,954	state	13,552,887
91	7,042,039	silverNOC	5,164,331
92	12,250,919	Jan precipitation days	5,307,684
93	8,403,373	date	12,774,578
94	10,340,646	is part of	7,410,517
95	11,622,683	death date	7,426,410
96	7,534,113	death date	3,369,428
97	5,312,342	lats	2,077,266
98	4,844,954	IUBMB EC number	88,520
99	6,895,675	pushpin map caption	3,272,705

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Qald9 Dataset

Three configs with different schemas:

test: QA pairs — id, question, answer, graph (local subgraph placeholder).
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  = load_dataset('Lettria/Qald9', 'test')['test']
nodes = load_dataset('Lettria/Qald9', 'nodes')['nodes']
edges = load_dataset('Lettria/Qald9', 'edges')['edges']

Downloads last month: 25

Size of downloaded dataset files:

2.34 GB

Size of the auto-converted Parquet files:

2.34 GB

Number of rows:

88,587,135