subset stringclasses 6
values | context stringlengths 16 17.7k | context_tokens dict | qid stringlengths 32 32 | question stringlengths 1 717 | question_tokens dict | detected_answers dict | answers listlengths 1 25 |
|---|---|---|---|---|---|---|---|
SQuAD | The Internet was extensively used for passing information to aid rescue and recovery efforts. For example, the official news agency Xinhua set up an online rescue request center in order to find the blind spots of disaster recovery. After knowing that rescue helicopters had trouble landing into the epicenter area in We... | {
"tokens": [
"The",
"Internet",
"was",
"extensively",
"used",
"for",
"passing",
"information",
"to",
"aid",
"rescue",
"and",
"recovery",
"efforts",
".",
"For",
"example",
",",
"the",
"official",
"news",
"agency",
"Xinhua",
... | 584cd1512fcd4e7e97e8a89882f76995 | Who set up an online site to focus on blind spots in recovery? | {
"tokens": [
"Who",
"set",
"up",
"an",
"online",
"site",
"to",
"focus",
"on",
"blind",
"spots",
"in",
"recovery",
"?"
],
"offsets": [
0,
4,
8,
11,
14,
21,
26,
29,
35,
38,
44,
50,
53,
61
]
} | {
"text": [
"news agency Xinhua"
],
"char_spans": [
{
"start": [
120
],
"end": [
137
]
}
],
"token_spans": [
{
"start": [
20
],
"end": [
22
]
}
]
} | [
"news agency Xinhua"
] |
SQuAD | The Internet was extensively used for passing information to aid rescue and recovery efforts. For example, the official news agency Xinhua set up an online rescue request center in order to find the blind spots of disaster recovery. After knowing that rescue helicopters had trouble landing into the epicenter area in We... | {
"tokens": [
"The",
"Internet",
"was",
"extensively",
"used",
"for",
"passing",
"information",
"to",
"aid",
"rescue",
"and",
"recovery",
"efforts",
".",
"For",
"example",
",",
"the",
"official",
"news",
"agency",
"Xinhua",
... | 9a1066c8d77e4d03901edacbb002ae32 | What person suggested a landing spot for helicopters near the epicenter? | {
"tokens": [
"What",
"person",
"suggested",
"a",
"landing",
"spot",
"for",
"helicopters",
"near",
"the",
"epicenter",
"?"
],
"offsets": [
0,
5,
12,
22,
24,
32,
37,
41,
53,
58,
62,
71
]
} | {
"text": [
"a student"
],
"char_spans": [
{
"start": [
328
],
"end": [
336
]
}
],
"token_spans": [
{
"start": [
56
],
"end": [
57
]
}
]
} | [
"a student"
] |
SQuAD | The Internet was extensively used for passing information to aid rescue and recovery efforts. For example, the official news agency Xinhua set up an online rescue request center in order to find the blind spots of disaster recovery. After knowing that rescue helicopters had trouble landing into the epicenter area in We... | {
"tokens": [
"The",
"Internet",
"was",
"extensively",
"used",
"for",
"passing",
"information",
"to",
"aid",
"rescue",
"and",
"recovery",
"efforts",
".",
"For",
"example",
",",
"the",
"official",
"news",
"agency",
"Xinhua",
... | b923ce7d7e37495084f57a768dc0595c | What kind of information were websites set up to store? | {
"tokens": [
"What",
"kind",
"of",
"information",
"were",
"websites",
"set",
"up",
"to",
"store",
"?"
],
"offsets": [
0,
5,
10,
13,
25,
30,
39,
43,
46,
49,
54
]
} | {
"text": [
"contact information"
],
"char_spans": [
{
"start": [
514
],
"end": [
532
]
}
],
"token_spans": [
{
"start": [
87
],
"end": [
88
]
}
]
} | [
"contact information"
] |
SQuAD | The Internet was extensively used for passing information to aid rescue and recovery efforts. For example, the official news agency Xinhua set up an online rescue request center in order to find the blind spots of disaster recovery. After knowing that rescue helicopters had trouble landing into the epicenter area in We... | {
"tokens": [
"The",
"Internet",
"was",
"extensively",
"used",
"for",
"passing",
"information",
"to",
"aid",
"rescue",
"and",
"recovery",
"efforts",
".",
"For",
"example",
",",
"the",
"official",
"news",
"agency",
"Xinhua",
... | 33c8b65a5bd14bfbadd60b6bbfaa025e | On what date did a rescue helicopter crash with no survivors? | {
"tokens": [
"On",
"what",
"date",
"did",
"a",
"rescue",
"helicopter",
"crash",
"with",
"no",
"survivors",
"?"
],
"offsets": [
0,
3,
8,
13,
17,
19,
26,
37,
43,
48,
51,
60
]
} | {
"text": [
"May 31"
],
"char_spans": [
{
"start": [
563
],
"end": [
568
]
}
],
"token_spans": [
{
"start": [
95
],
"end": [
96
]
}
]
} | [
"May 31"
] |
SQuAD | On Children's Day, June 1, 2008, many parents went to the rubble of schools to mourn for their children. The surviving children, who were mostly living in relief centres, performed ceremonies marking the special day, but also acknowledging the earthquake. | {
"tokens": [
"On",
"Children",
"'s",
"Day",
",",
"June",
"1",
",",
"2008",
",",
"many",
"parents",
"went",
"to",
"the",
"rubble",
"of",
"schools",
"to",
"mourn",
"for",
"their",
"children",
".",
"The",
"surviving"... | 3b376a4f31f44f6585b731fe9572f14a | What was June 1, 2008 called? | {
"tokens": [
"What",
"was",
"June",
"1",
",",
"2008",
"called",
"?"
],
"offsets": [
0,
5,
9,
14,
15,
17,
22,
28
]
} | {
"text": [
"Children's Day"
],
"char_spans": [
{
"start": [
3
],
"end": [
16
]
}
],
"token_spans": [
{
"start": [
1
],
"end": [
3
]
}
]
} | [
"Children's Day"
] |
SQuAD | On Children's Day, June 1, 2008, many parents went to the rubble of schools to mourn for their children. The surviving children, who were mostly living in relief centres, performed ceremonies marking the special day, but also acknowledging the earthquake. | {
"tokens": [
"On",
"Children",
"'s",
"Day",
",",
"June",
"1",
",",
"2008",
",",
"many",
"parents",
"went",
"to",
"the",
"rubble",
"of",
"schools",
"to",
"mourn",
"for",
"their",
"children",
".",
"The",
"surviving"... | 700b54705b264259b9ee433c1aa49ae2 | Where were most of the surviving children? | {
"tokens": [
"Where",
"were",
"most",
"of",
"the",
"surviving",
"children",
"?"
],
"offsets": [
0,
6,
11,
16,
19,
23,
33,
41
]
} | {
"text": [
"living in relief centres"
],
"char_spans": [
{
"start": [
145
],
"end": [
168
]
}
],
"token_spans": [
{
"start": [
31
],
"end": [
34
]
}
]
} | [
"living in relief centres"
] |
SQuAD | On Children's Day, June 1, 2008, many parents went to the rubble of schools to mourn for their children. The surviving children, who were mostly living in relief centres, performed ceremonies marking the special day, but also acknowledging the earthquake. | {
"tokens": [
"On",
"Children",
"'s",
"Day",
",",
"June",
"1",
",",
"2008",
",",
"many",
"parents",
"went",
"to",
"the",
"rubble",
"of",
"schools",
"to",
"mourn",
"for",
"their",
"children",
".",
"The",
"surviving"... | 3131ffefd7ac46b4984602a167d37566 | What did these children do on that day? | {
"tokens": [
"What",
"did",
"these",
"children",
"do",
"on",
"that",
"day",
"?"
],
"offsets": [
0,
5,
9,
15,
24,
27,
30,
35,
38
]
} | {
"text": [
"performed ceremonies"
],
"char_spans": [
{
"start": [
171
],
"end": [
190
]
}
],
"token_spans": [
{
"start": [
36
],
"end": [
37
]
}
]
} | [
"performed ceremonies"
] |
SQuAD | On Children's Day, June 1, 2008, many parents went to the rubble of schools to mourn for their children. The surviving children, who were mostly living in relief centres, performed ceremonies marking the special day, but also acknowledging the earthquake. | {
"tokens": [
"On",
"Children",
"'s",
"Day",
",",
"June",
"1",
",",
"2008",
",",
"many",
"parents",
"went",
"to",
"the",
"rubble",
"of",
"schools",
"to",
"mourn",
"for",
"their",
"children",
".",
"The",
"surviving"... | 9edd2179adbd4437913abcf909a95121 | Where did parents go to mourn their children? | {
"tokens": [
"Where",
"did",
"parents",
"go",
"to",
"mourn",
"their",
"children",
"?"
],
"offsets": [
0,
6,
10,
18,
21,
24,
30,
36,
44
]
} | {
"text": [
"rubble of schools"
],
"char_spans": [
{
"start": [
58
],
"end": [
74
]
}
],
"token_spans": [
{
"start": [
15
],
"end": [
17
]
}
]
} | [
"rubble of schools"
] |
SQuAD | On Children's Day, June 1, 2008, many parents went to the rubble of schools to mourn for their children. The surviving children, who were mostly living in relief centres, performed ceremonies marking the special day, but also acknowledging the earthquake. | {
"tokens": [
"On",
"Children",
"'s",
"Day",
",",
"June",
"1",
",",
"2008",
",",
"many",
"parents",
"went",
"to",
"the",
"rubble",
"of",
"schools",
"to",
"mourn",
"for",
"their",
"children",
".",
"The",
"surviving"... | f0d42a72db0e420480cc12128aeca60a | When is Children's Day? | {
"tokens": [
"When",
"is",
"Children",
"'s",
"Day",
"?"
],
"offsets": [
0,
5,
8,
16,
19,
22
]
} | {
"text": [
"June 1"
],
"char_spans": [
{
"start": [
19
],
"end": [
24
]
}
],
"token_spans": [
{
"start": [
5
],
"end": [
6
]
}
]
} | [
"June 1"
] |
SQuAD | On Children's Day, June 1, 2008, many parents went to the rubble of schools to mourn for their children. The surviving children, who were mostly living in relief centres, performed ceremonies marking the special day, but also acknowledging the earthquake. | {
"tokens": [
"On",
"Children",
"'s",
"Day",
",",
"June",
"1",
",",
"2008",
",",
"many",
"parents",
"went",
"to",
"the",
"rubble",
"of",
"schools",
"to",
"mourn",
"for",
"their",
"children",
".",
"The",
"surviving"... | 2ca27ec8b8c1442ab0cca735e879e214 | Where were surviving children living? | {
"tokens": [
"Where",
"were",
"surviving",
"children",
"living",
"?"
],
"offsets": [
0,
6,
11,
21,
30,
36
]
} | {
"text": [
"in relief centres"
],
"char_spans": [
{
"start": [
152
],
"end": [
168
]
}
],
"token_spans": [
{
"start": [
32
],
"end": [
34
]
}
]
} | [
"in relief centres"
] |
SQuAD | Office buildings in Shanghai's financial district, including the Jin Mao Tower and the Hong Kong New World Tower, were evacuated. A receptionist at the Tibet Hotel in Chengdu said things were "calm" after the hotel evacuated its guests. Meanwhile, workers at a Ford plant in Sichuan were evacuated for about 10 minutes. ... | {
"tokens": [
"Office",
"buildings",
"in",
"Shanghai",
"'s",
"financial",
"district",
",",
"including",
"the",
"Jin",
"Mao",
"Tower",
"and",
"the",
"Hong",
"Kong",
"New",
"World",
"Tower",
",",
"were",
"evacuated",
".",
... | f096348820ed4e36ac949d07ae6b5e39 | Where were office buildings evacuated? | {
"tokens": [
"Where",
"were",
"office",
"buildings",
"evacuated",
"?"
],
"offsets": [
0,
6,
11,
18,
28,
37
]
} | {
"text": [
"Shanghai's financial district"
],
"char_spans": [
{
"start": [
20
],
"end": [
48
]
}
],
"token_spans": [
{
"start": [
3
],
"end": [
6
]
}
]
} | [
"Shanghai's financial district"
] |
SQuAD | Office buildings in Shanghai's financial district, including the Jin Mao Tower and the Hong Kong New World Tower, were evacuated. A receptionist at the Tibet Hotel in Chengdu said things were "calm" after the hotel evacuated its guests. Meanwhile, workers at a Ford plant in Sichuan were evacuated for about 10 minutes. ... | {
"tokens": [
"Office",
"buildings",
"in",
"Shanghai",
"'s",
"financial",
"district",
",",
"including",
"the",
"Jin",
"Mao",
"Tower",
"and",
"the",
"Hong",
"Kong",
"New",
"World",
"Tower",
",",
"were",
"evacuated",
".",
... | dda87054f1304510ac9494258775d8df | How did a receptionist describe the atmosphere after the evacuation? | {
"tokens": [
"How",
"did",
"a",
"receptionist",
"describe",
"the",
"atmosphere",
"after",
"the",
"evacuation",
"?"
],
"offsets": [
0,
4,
8,
10,
23,
32,
36,
47,
53,
57,
67
]
} | {
"text": [
"calm"
],
"char_spans": [
{
"start": [
193
],
"end": [
196
]
}
],
"token_spans": [
{
"start": [
36
],
"end": [
36
]
}
]
} | [
"calm"
] |
SQuAD | Office buildings in Shanghai's financial district, including the Jin Mao Tower and the Hong Kong New World Tower, were evacuated. A receptionist at the Tibet Hotel in Chengdu said things were "calm" after the hotel evacuated its guests. Meanwhile, workers at a Ford plant in Sichuan were evacuated for about 10 minutes. ... | {
"tokens": [
"Office",
"buildings",
"in",
"Shanghai",
"'s",
"financial",
"district",
",",
"including",
"the",
"Jin",
"Mao",
"Tower",
"and",
"the",
"Hong",
"Kong",
"New",
"World",
"Tower",
",",
"were",
"evacuated",
".",
... | 4431e363040b47e187aa9d8a3318d4c4 | How long were workers in Ford Plant evacuated for? | {
"tokens": [
"How",
"long",
"were",
"workers",
"in",
"Ford",
"Plant",
"evacuated",
"for",
"?"
],
"offsets": [
0,
4,
9,
14,
22,
25,
30,
36,
46,
49
]
} | {
"text": [
"10 minutes"
],
"char_spans": [
{
"start": [
308
],
"end": [
317
]
}
],
"token_spans": [
{
"start": [
58
],
"end": [
59
]
}
]
} | [
"10 minutes"
] |
SQuAD | Office buildings in Shanghai's financial district, including the Jin Mao Tower and the Hong Kong New World Tower, were evacuated. A receptionist at the Tibet Hotel in Chengdu said things were "calm" after the hotel evacuated its guests. Meanwhile, workers at a Ford plant in Sichuan were evacuated for about 10 minutes. ... | {
"tokens": [
"Office",
"buildings",
"in",
"Shanghai",
"'s",
"financial",
"district",
",",
"including",
"the",
"Jin",
"Mao",
"Tower",
"and",
"the",
"Hong",
"Kong",
"New",
"World",
"Tower",
",",
"were",
"evacuated",
".",
... | 4122c9673e3f47678886e73001a3a041 | Which airport was shut down? | {
"tokens": [
"Which",
"airport",
"was",
"shut",
"down",
"?"
],
"offsets": [
0,
6,
14,
18,
23,
27
]
} | {
"text": [
"Chengdu Shuangliu International Airport"
],
"char_spans": [
{
"start": [
320
],
"end": [
358
]
}
],
"token_spans": [
{
"start": [
61
],
"end": [
64
]
}
]
} | [
"Chengdu Shuangliu International Airport"
] |
SQuAD | Office buildings in Shanghai's financial district, including the Jin Mao Tower and the Hong Kong New World Tower, were evacuated. A receptionist at the Tibet Hotel in Chengdu said things were "calm" after the hotel evacuated its guests. Meanwhile, workers at a Ford plant in Sichuan were evacuated for about 10 minutes. ... | {
"tokens": [
"Office",
"buildings",
"in",
"Shanghai",
"'s",
"financial",
"district",
",",
"including",
"the",
"Jin",
"Mao",
"Tower",
"and",
"the",
"Hong",
"Kong",
"New",
"World",
"Tower",
",",
"were",
"evacuated",
".",
... | 4a17f0bb46d24e5baa78bc2296aec825 | When did the airport re-open? | {
"tokens": [
"When",
"did",
"the",
"airport",
"re",
"-",
"open",
"?"
],
"offsets": [
0,
5,
9,
13,
21,
23,
24,
28
]
} | {
"text": [
"May 12"
],
"char_spans": [
{
"start": [
691
],
"end": [
696
]
}
],
"token_spans": [
{
"start": [
124
],
"end": [
125
]
}
]
} | [
"May 12"
] |
SQuAD | Office buildings in Shanghai's financial district, including the Jin Mao Tower and the Hong Kong New World Tower, were evacuated. A receptionist at the Tibet Hotel in Chengdu said things were "calm" after the hotel evacuated its guests. Meanwhile, workers at a Ford plant in Sichuan were evacuated for about 10 minutes. ... | {
"tokens": [
"Office",
"buildings",
"in",
"Shanghai",
"'s",
"financial",
"district",
",",
"including",
"the",
"Jin",
"Mao",
"Tower",
"and",
"the",
"Hong",
"Kong",
"New",
"World",
"Tower",
",",
"were",
"evacuated",
".",
... | 5f1aa9e3c0c34b6191b6df2434dcd3a1 | What happened to office buildings in Shanghai? | {
"tokens": [
"What",
"happened",
"to",
"office",
"buildings",
"in",
"Shanghai",
"?"
],
"offsets": [
0,
5,
14,
17,
24,
34,
37,
45
]
} | {
"text": [
"evacuated"
],
"char_spans": [
{
"start": [
215
],
"end": [
223
]
}
],
"token_spans": [
{
"start": [
41
],
"end": [
41
]
}
]
} | [
"evacuated"
] |
SQuAD | Office buildings in Shanghai's financial district, including the Jin Mao Tower and the Hong Kong New World Tower, were evacuated. A receptionist at the Tibet Hotel in Chengdu said things were "calm" after the hotel evacuated its guests. Meanwhile, workers at a Ford plant in Sichuan were evacuated for about 10 minutes. ... | {
"tokens": [
"Office",
"buildings",
"in",
"Shanghai",
"'s",
"financial",
"district",
",",
"including",
"the",
"Jin",
"Mao",
"Tower",
"and",
"the",
"Hong",
"Kong",
"New",
"World",
"Tower",
",",
"were",
"evacuated",
".",
... | 8d2240fc2efb49c792dceab682794d57 | Which airport was shut down? | {
"tokens": [
"Which",
"airport",
"was",
"shut",
"down",
"?"
],
"offsets": [
0,
6,
14,
18,
23,
27
]
} | {
"text": [
"Chengdu Shuangliu International Airport"
],
"char_spans": [
{
"start": [
320
],
"end": [
358
]
}
],
"token_spans": [
{
"start": [
61
],
"end": [
64
]
}
]
} | [
"Chengdu Shuangliu International Airport"
] |
SQuAD | Office buildings in Shanghai's financial district, including the Jin Mao Tower and the Hong Kong New World Tower, were evacuated. A receptionist at the Tibet Hotel in Chengdu said things were "calm" after the hotel evacuated its guests. Meanwhile, workers at a Ford plant in Sichuan were evacuated for about 10 minutes. ... | {
"tokens": [
"Office",
"buildings",
"in",
"Shanghai",
"'s",
"financial",
"district",
",",
"including",
"the",
"Jin",
"Mao",
"Tower",
"and",
"the",
"Hong",
"Kong",
"New",
"World",
"Tower",
",",
"were",
"evacuated",
".",
... | d83de5e5baa64389894e8f03fdc3f396 | Why were flights delayed and diverted? | {
"tokens": [
"Why",
"were",
"flights",
"delayed",
"and",
"diverted",
"?"
],
"offsets": [
0,
4,
9,
17,
25,
29,
37
]
} | {
"text": [
"disruption in air traffic services"
],
"char_spans": [
{
"start": [
596
],
"end": [
629
]
}
],
"token_spans": [
{
"start": [
109
],
"end": [
113
]
}
]
} | [
"disruption in air traffic services"
] |
SQuAD | Office buildings in Shanghai's financial district, including the Jin Mao Tower and the Hong Kong New World Tower, were evacuated. A receptionist at the Tibet Hotel in Chengdu said things were "calm" after the hotel evacuated its guests. Meanwhile, workers at a Ford plant in Sichuan were evacuated for about 10 minutes. ... | {
"tokens": [
"Office",
"buildings",
"in",
"Shanghai",
"'s",
"financial",
"district",
",",
"including",
"the",
"Jin",
"Mao",
"Tower",
"and",
"the",
"Hong",
"Kong",
"New",
"World",
"Tower",
",",
"were",
"evacuated",
".",
... | 168957d032984a4d8f75562d7ff16360 | What were they using the airport to stage for? | {
"tokens": [
"What",
"were",
"they",
"using",
"the",
"airport",
"to",
"stage",
"for",
"?"
],
"offsets": [
0,
5,
10,
15,
21,
25,
33,
36,
42,
45
]
} | {
"text": [
"relief operations"
],
"char_spans": [
{
"start": [
778
],
"end": [
794
]
}
],
"token_spans": [
{
"start": [
142
],
"end": [
143
]
}
]
} | [
"relief operations"
] |
SQuAD | The National Disaster Relief Commission initiated a "Level II emergency contingency plan", which covers the most serious class of natural disasters. The plan rose to Level I at 22:15 CST, May 12. | {
"tokens": [
"The",
"National",
"Disaster",
"Relief",
"Commission",
"initiated",
"a",
"\"",
"Level",
"II",
"emergency",
"contingency",
"plan",
"\"",
",",
"which",
"covers",
"the",
"most",
"serious",
"class",
"of",
"natural",
... | e3eb3aa3a31847658875d3dd8501eeec | What did the National Disaster Relief Commission initiate? | {
"tokens": [
"What",
"did",
"the",
"National",
"Disaster",
"Relief",
"Commission",
"initiate",
"?"
],
"offsets": [
0,
5,
9,
13,
22,
31,
38,
49,
57
]
} | {
"text": [
"Level II emergency contingency plan"
],
"char_spans": [
{
"start": [
53
],
"end": [
87
]
}
],
"token_spans": [
{
"start": [
8
],
"end": [
12
]
}
]
} | [
"Level II emergency contingency plan"
] |
SQuAD | The National Disaster Relief Commission initiated a "Level II emergency contingency plan", which covers the most serious class of natural disasters. The plan rose to Level I at 22:15 CST, May 12. | {
"tokens": [
"The",
"National",
"Disaster",
"Relief",
"Commission",
"initiated",
"a",
"\"",
"Level",
"II",
"emergency",
"contingency",
"plan",
"\"",
",",
"which",
"covers",
"the",
"most",
"serious",
"class",
"of",
"natural",
... | 77f07339a2df4cf990dfc43fd8387758 | What does a Level II emergency contingency plan cover? | {
"tokens": [
"What",
"does",
"a",
"Level",
"II",
"emergency",
"contingency",
"plan",
"cover",
"?"
],
"offsets": [
0,
5,
10,
12,
18,
21,
31,
43,
48,
53
]
} | {
"text": [
"the most serious class of natural disasters"
],
"char_spans": [
{
"start": [
104
],
"end": [
146
]
}
],
"token_spans": [
{
"start": [
17
],
"end": [
23
]
}
]
} | [
"the most serious class of natural disasters"
] |
SQuAD | The National Disaster Relief Commission initiated a "Level II emergency contingency plan", which covers the most serious class of natural disasters. The plan rose to Level I at 22:15 CST, May 12. | {
"tokens": [
"The",
"National",
"Disaster",
"Relief",
"Commission",
"initiated",
"a",
"\"",
"Level",
"II",
"emergency",
"contingency",
"plan",
"\"",
",",
"which",
"covers",
"the",
"most",
"serious",
"class",
"of",
"natural",
... | a649e133e4834002b8f87cc318646ec9 | When did the plan rise to Level I? | {
"tokens": [
"When",
"did",
"the",
"plan",
"rise",
"to",
"Level",
"I",
"?"
],
"offsets": [
0,
5,
9,
13,
18,
23,
26,
32,
33
]
} | {
"text": [
"at 22:15 CST, May 12"
],
"char_spans": [
{
"start": [
174
],
"end": [
193
]
}
],
"token_spans": [
{
"start": [
31
],
"end": [
36
]
}
]
} | [
"at 22:15 CST, May 12"
] |
SQuAD | The National Disaster Relief Commission initiated a "Level II emergency contingency plan", which covers the most serious class of natural disasters. The plan rose to Level I at 22:15 CST, May 12. | {
"tokens": [
"The",
"National",
"Disaster",
"Relief",
"Commission",
"initiated",
"a",
"\"",
"Level",
"II",
"emergency",
"contingency",
"plan",
"\"",
",",
"which",
"covers",
"the",
"most",
"serious",
"class",
"of",
"natural",
... | f08e45b14dff4a42a0e142a3537e71a5 | What level alert was instated for the quake? | {
"tokens": [
"What",
"level",
"alert",
"was",
"instated",
"for",
"the",
"quake",
"?"
],
"offsets": [
0,
5,
11,
17,
21,
30,
34,
38,
43
]
} | {
"text": [
"Level II emergency"
],
"char_spans": [
{
"start": [
53
],
"end": [
70
]
}
],
"token_spans": [
{
"start": [
8
],
"end": [
10
]
}
]
} | [
"Level II emergency"
] |
SQuAD | The National Disaster Relief Commission initiated a "Level II emergency contingency plan", which covers the most serious class of natural disasters. The plan rose to Level I at 22:15 CST, May 12. | {
"tokens": [
"The",
"National",
"Disaster",
"Relief",
"Commission",
"initiated",
"a",
"\"",
"Level",
"II",
"emergency",
"contingency",
"plan",
"\"",
",",
"which",
"covers",
"the",
"most",
"serious",
"class",
"of",
"natural",
... | 884583bc6a6f46a6ab6050f1bc1a0da8 | What class of disasters is a level II emergency? | {
"tokens": [
"What",
"class",
"of",
"disasters",
"is",
"a",
"level",
"II",
"emergency",
"?"
],
"offsets": [
0,
5,
11,
14,
24,
27,
29,
35,
38,
47
]
} | {
"text": [
"most serious"
],
"char_spans": [
{
"start": [
108
],
"end": [
119
]
}
],
"token_spans": [
{
"start": [
18
],
"end": [
19
]
}
]
} | [
"most serious"
] |
SQuAD | The National Disaster Relief Commission initiated a "Level II emergency contingency plan", which covers the most serious class of natural disasters. The plan rose to Level I at 22:15 CST, May 12. | {
"tokens": [
"The",
"National",
"Disaster",
"Relief",
"Commission",
"initiated",
"a",
"\"",
"Level",
"II",
"emergency",
"contingency",
"plan",
"\"",
",",
"which",
"covers",
"the",
"most",
"serious",
"class",
"of",
"natural",
... | 9967188d237b4ae0a185b5513254f2e3 | What level was the disaster set at 22:15 CST, May 12? | {
"tokens": [
"What",
"level",
"was",
"the",
"disaster",
"set",
"at",
"22:15",
"CST",
",",
"May",
"12",
"?"
],
"offsets": [
0,
5,
11,
15,
19,
28,
32,
35,
41,
44,
46,
50,
52
]
} | {
"text": [
"Level II"
],
"char_spans": [
{
"start": [
53
],
"end": [
60
]
}
],
"token_spans": [
{
"start": [
8
],
"end": [
9
]
}
]
} | [
"Level II"
] |
SQuAD | The National Disaster Relief Commission initiated a "Level II emergency contingency plan", which covers the most serious class of natural disasters. The plan rose to Level I at 22:15 CST, May 12. | {
"tokens": [
"The",
"National",
"Disaster",
"Relief",
"Commission",
"initiated",
"a",
"\"",
"Level",
"II",
"emergency",
"contingency",
"plan",
"\"",
",",
"which",
"covers",
"the",
"most",
"serious",
"class",
"of",
"natural",
... | 70b540d0af99430faf361810faec5bdf | What department initiated the emergency contingency plan? | {
"tokens": [
"What",
"department",
"initiated",
"the",
"emergency",
"contingency",
"plan",
"?"
],
"offsets": [
0,
5,
16,
26,
30,
40,
52,
56
]
} | {
"text": [
"National Disaster Relief Commission"
],
"char_spans": [
{
"start": [
4
],
"end": [
38
]
}
],
"token_spans": [
{
"start": [
1
],
"end": [
4
]
}
]
} | [
"National Disaster Relief Commission"
] |
SQuAD | The Zipingpu Hydropower Plant (simplified Chinese: 紫坪铺水库; traditional Chinese: 紫坪鋪水庫) located 20 km east of the epicenter was damaged. A recent inspection indicated that the damage was less severe than initially feared, and it remains structurally stable and safe. The Tulong reservoir upstream is in danger of collapse.... | {
"tokens": [
"The",
"Zipingpu",
"Hydropower",
"Plant",
"(",
"simplified",
"Chinese",
":",
"紫坪铺水库",
";",
"traditional",
"Chinese",
":",
"紫坪鋪水庫",
")",
"located",
"20",
"km",
"east",
"of",
"the",
"epicenter",
"was",
"damaged... | a3ecc020bbc2422bbd17b7267f9e94d8 | What power plant was damaged? | {
"tokens": [
"What",
"power",
"plant",
"was",
"damaged",
"?"
],
"offsets": [
0,
5,
11,
17,
21,
28
]
} | {
"text": [
"Hydropower Plant"
],
"char_spans": [
{
"start": [
13
],
"end": [
28
]
}
],
"token_spans": [
{
"start": [
2
],
"end": [
3
]
}
]
} | [
"Hydropower Plant"
] |
SQuAD | The Zipingpu Hydropower Plant (simplified Chinese: 紫坪铺水库; traditional Chinese: 紫坪鋪水庫) located 20 km east of the epicenter was damaged. A recent inspection indicated that the damage was less severe than initially feared, and it remains structurally stable and safe. The Tulong reservoir upstream is in danger of collapse.... | {
"tokens": [
"The",
"Zipingpu",
"Hydropower",
"Plant",
"(",
"simplified",
"Chinese",
":",
"紫坪铺水库",
";",
"traditional",
"Chinese",
":",
"紫坪鋪水庫",
")",
"located",
"20",
"km",
"east",
"of",
"the",
"epicenter",
"was",
"damaged... | e8453945c2e84fdeb9c422a0e67282f3 | How far away was the plant located from the epicenter? | {
"tokens": [
"How",
"far",
"away",
"was",
"the",
"plant",
"located",
"from",
"the",
"epicenter",
"?"
],
"offsets": [
0,
4,
8,
13,
17,
21,
27,
35,
40,
44,
53
]
} | {
"text": [
"20 km east"
],
"char_spans": [
{
"start": [
94
],
"end": [
103
]
}
],
"token_spans": [
{
"start": [
16
],
"end": [
18
]
}
]
} | [
"20 km east"
] |
SQuAD | The Zipingpu Hydropower Plant (simplified Chinese: 紫坪铺水库; traditional Chinese: 紫坪鋪水庫) located 20 km east of the epicenter was damaged. A recent inspection indicated that the damage was less severe than initially feared, and it remains structurally stable and safe. The Tulong reservoir upstream is in danger of collapse.... | {
"tokens": [
"The",
"Zipingpu",
"Hydropower",
"Plant",
"(",
"simplified",
"Chinese",
":",
"紫坪铺水库",
";",
"traditional",
"Chinese",
":",
"紫坪鋪水庫",
")",
"located",
"20",
"km",
"east",
"of",
"the",
"epicenter",
"was",
"damaged... | 8d54ba0739dd478ab41360323c997986 | How many troops were allocated to Zipingpu? | {
"tokens": [
"How",
"many",
"troops",
"were",
"allocated",
"to",
"Zipingpu",
"?"
],
"offsets": [
0,
4,
9,
16,
21,
31,
34,
42
]
} | {
"text": [
"2,000"
],
"char_spans": [
{
"start": [
327
],
"end": [
331
]
}
],
"token_spans": [
{
"start": [
58
],
"end": [
58
]
}
]
} | [
"2,000"
] |
SQuAD | The Zipingpu Hydropower Plant (simplified Chinese: 紫坪铺水库; traditional Chinese: 紫坪鋪水庫) located 20 km east of the epicenter was damaged. A recent inspection indicated that the damage was less severe than initially feared, and it remains structurally stable and safe. The Tulong reservoir upstream is in danger of collapse.... | {
"tokens": [
"The",
"Zipingpu",
"Hydropower",
"Plant",
"(",
"simplified",
"Chinese",
":",
"紫坪铺水库",
";",
"traditional",
"Chinese",
":",
"紫坪鋪水庫",
")",
"located",
"20",
"km",
"east",
"of",
"the",
"epicenter",
"was",
"damaged... | 4cf61c1628614077b629a5d431017995 | How many dams were damaged? | {
"tokens": [
"How",
"many",
"dams",
"were",
"damaged",
"?"
],
"offsets": [
0,
4,
9,
14,
19,
26
]
} | {
"text": [
"391"
],
"char_spans": [
{
"start": [
432
],
"end": [
434
]
}
],
"token_spans": [
{
"start": [
77
],
"end": [
77
]
}
]
} | [
"391"
] |
SQuAD | The Zipingpu Hydropower Plant (simplified Chinese: 紫坪铺水库; traditional Chinese: 紫坪鋪水庫) located 20 km east of the epicenter was damaged. A recent inspection indicated that the damage was less severe than initially feared, and it remains structurally stable and safe. The Tulong reservoir upstream is in danger of collapse.... | {
"tokens": [
"The",
"Zipingpu",
"Hydropower",
"Plant",
"(",
"simplified",
"Chinese",
":",
"紫坪铺水库",
";",
"traditional",
"Chinese",
":",
"紫坪鋪水庫",
")",
"located",
"20",
"km",
"east",
"of",
"the",
"epicenter",
"was",
"damaged... | 3395642b48ff4b65a7ff2d56f02d1b2b | What power plant was damaged by the earthquake? | {
"tokens": [
"What",
"power",
"plant",
"was",
"damaged",
"by",
"the",
"earthquake",
"?"
],
"offsets": [
0,
5,
11,
17,
21,
29,
32,
36,
46
]
} | {
"text": [
"Zipingpu Hydropower Plant"
],
"char_spans": [
{
"start": [
4
],
"end": [
28
]
}
],
"token_spans": [
{
"start": [
1
],
"end": [
3
]
}
]
} | [
"Zipingpu Hydropower Plant"
] |
SQuAD | The Zipingpu Hydropower Plant (simplified Chinese: 紫坪铺水库; traditional Chinese: 紫坪鋪水庫) located 20 km east of the epicenter was damaged. A recent inspection indicated that the damage was less severe than initially feared, and it remains structurally stable and safe. The Tulong reservoir upstream is in danger of collapse.... | {
"tokens": [
"The",
"Zipingpu",
"Hydropower",
"Plant",
"(",
"simplified",
"Chinese",
":",
"紫坪铺水库",
";",
"traditional",
"Chinese",
":",
"紫坪鋪水庫",
")",
"located",
"20",
"km",
"east",
"of",
"the",
"epicenter",
"was",
"damaged... | b83901ac03894a7f9e9059b41e21f71f | How near to the epicenter was the power plant? | {
"tokens": [
"How",
"near",
"to",
"the",
"epicenter",
"was",
"the",
"power",
"plant",
"?"
],
"offsets": [
0,
4,
9,
12,
16,
26,
30,
34,
40,
45
]
} | {
"text": [
"20 km"
],
"char_spans": [
{
"start": [
94
],
"end": [
98
]
}
],
"token_spans": [
{
"start": [
16
],
"end": [
17
]
}
]
} | [
"20 km"
] |
SQuAD | The Zipingpu Hydropower Plant (simplified Chinese: 紫坪铺水库; traditional Chinese: 紫坪鋪水庫) located 20 km east of the epicenter was damaged. A recent inspection indicated that the damage was less severe than initially feared, and it remains structurally stable and safe. The Tulong reservoir upstream is in danger of collapse.... | {
"tokens": [
"The",
"Zipingpu",
"Hydropower",
"Plant",
"(",
"simplified",
"Chinese",
":",
"紫坪铺水库",
";",
"traditional",
"Chinese",
":",
"紫坪鋪水庫",
")",
"located",
"20",
"km",
"east",
"of",
"the",
"epicenter",
"was",
"damaged... | 977ffa7347ce4e848cb060e24cd80d6a | What has a recent inspection found about the damage to the power plant? | {
"tokens": [
"What",
"has",
"a",
"recent",
"inspection",
"found",
"about",
"the",
"damage",
"to",
"the",
"power",
"plant",
"?"
],
"offsets": [
0,
5,
9,
11,
18,
29,
35,
41,
45,
52,
55,
59,
65,
70
]
} | {
"text": [
"less severe"
],
"char_spans": [
{
"start": [
185
],
"end": [
195
]
}
],
"token_spans": [
{
"start": [
33
],
"end": [
34
]
}
]
} | [
"less severe"
] |
SQuAD | The Zipingpu Hydropower Plant (simplified Chinese: 紫坪铺水库; traditional Chinese: 紫坪鋪水庫) located 20 km east of the epicenter was damaged. A recent inspection indicated that the damage was less severe than initially feared, and it remains structurally stable and safe. The Tulong reservoir upstream is in danger of collapse.... | {
"tokens": [
"The",
"Zipingpu",
"Hydropower",
"Plant",
"(",
"simplified",
"Chinese",
":",
"紫坪铺水库",
";",
"traditional",
"Chinese",
":",
"紫坪鋪水庫",
")",
"located",
"20",
"km",
"east",
"of",
"the",
"epicenter",
"was",
"damaged... | 29cde9cb959f42009dba63e95b26424a | What might possibly collapse upstream from the power plant? | {
"tokens": [
"What",
"might",
"possibly",
"collapse",
"upstream",
"from",
"the",
"power",
"plant",
"?"
],
"offsets": [
0,
5,
11,
20,
29,
38,
43,
47,
53,
58
]
} | {
"text": [
"Tulong reservoir"
],
"char_spans": [
{
"start": [
269
],
"end": [
284
]
}
],
"token_spans": [
{
"start": [
48
],
"end": [
49
]
}
]
} | [
"Tulong reservoir"
] |
SQuAD | The Zipingpu Hydropower Plant (simplified Chinese: 紫坪铺水库; traditional Chinese: 紫坪鋪水庫) located 20 km east of the epicenter was damaged. A recent inspection indicated that the damage was less severe than initially feared, and it remains structurally stable and safe. The Tulong reservoir upstream is in danger of collapse.... | {
"tokens": [
"The",
"Zipingpu",
"Hydropower",
"Plant",
"(",
"simplified",
"Chinese",
":",
"紫坪铺水库",
";",
"traditional",
"Chinese",
":",
"紫坪鋪水庫",
")",
"located",
"20",
"km",
"east",
"of",
"the",
"epicenter",
"was",
"damaged... | 967c72fe1cf04e689ffcf3fe072f4ac7 | What is the total number of dams damaged? | {
"tokens": [
"What",
"is",
"the",
"total",
"number",
"of",
"dams",
"damaged",
"?"
],
"offsets": [
0,
5,
8,
12,
18,
25,
28,
33,
40
]
} | {
"text": [
"391"
],
"char_spans": [
{
"start": [
432
],
"end": [
434
]
}
],
"token_spans": [
{
"start": [
77
],
"end": [
77
]
}
]
} | [
"391"
] |
SQuAD | In January 2010, Hong Kong-based English newspaper The Standard reported that writer Tan Zuoren attempted to document shoddy construction that may have led to massive casualties in schools, was sentenced to in prison ostensibly for his writing an article in 2007 in support of the pro-democracy movement in 1989. | {
"tokens": [
"In",
"January",
"2010",
",",
"Hong",
"Kong",
"-",
"based",
"English",
"newspaper",
"The",
"Standard",
"reported",
"that",
"writer",
"Tan",
"Zuoren",
"attempted",
"to",
"document",
"shoddy",
"construction",
"that... | 0f554e2ca0c0496192c4262513ea82fa | When did the sentencing occur? | {
"tokens": [
"When",
"did",
"the",
"sentencing",
"occur",
"?"
],
"offsets": [
0,
5,
9,
13,
24,
29
]
} | {
"text": [
"in 2007"
],
"char_spans": [
{
"start": [
255
],
"end": [
261
]
}
],
"token_spans": [
{
"start": [
43
],
"end": [
44
]
}
]
} | [
"in 2007"
] |
SQuAD | In January 2010, Hong Kong-based English newspaper The Standard reported that writer Tan Zuoren attempted to document shoddy construction that may have led to massive casualties in schools, was sentenced to in prison ostensibly for his writing an article in 2007 in support of the pro-democracy movement in 1989. | {
"tokens": [
"In",
"January",
"2010",
",",
"Hong",
"Kong",
"-",
"based",
"English",
"newspaper",
"The",
"Standard",
"reported",
"that",
"writer",
"Tan",
"Zuoren",
"attempted",
"to",
"document",
"shoddy",
"construction",
"that... | 20ae68f8ca4a47c1babb198d95fb5a29 | When was the article published about the case? | {
"tokens": [
"When",
"was",
"the",
"article",
"published",
"about",
"the",
"case",
"?"
],
"offsets": [
0,
5,
9,
13,
21,
31,
37,
41,
45
]
} | {
"text": [
"January 2010"
],
"char_spans": [
{
"start": [
3
],
"end": [
14
]
}
],
"token_spans": [
{
"start": [
1
],
"end": [
2
]
}
]
} | [
"January 2010"
] |
SQuAD | In January 2010, Hong Kong-based English newspaper The Standard reported that writer Tan Zuoren attempted to document shoddy construction that may have led to massive casualties in schools, was sentenced to in prison ostensibly for his writing an article in 2007 in support of the pro-democracy movement in 1989. | {
"tokens": [
"In",
"January",
"2010",
",",
"Hong",
"Kong",
"-",
"based",
"English",
"newspaper",
"The",
"Standard",
"reported",
"that",
"writer",
"Tan",
"Zuoren",
"attempted",
"to",
"document",
"shoddy",
"construction",
"that... | b0b6b72423b64a878f6a260595209369 | What did he think that the poor construction led to? | {
"tokens": [
"What",
"did",
"he",
"think",
"that",
"the",
"poor",
"construction",
"led",
"to",
"?"
],
"offsets": [
0,
5,
9,
12,
18,
23,
27,
32,
45,
49,
51
]
} | {
"text": [
"massive casualties"
],
"char_spans": [
{
"start": [
159
],
"end": [
176
]
}
],
"token_spans": [
{
"start": [
27
],
"end": [
28
]
}
]
} | [
"massive casualties"
] |
SQuAD | The earthquake left at least 5 million people without housing, although the number could be as high as 11 million. Millions of livestock and a significant amount of agriculture were also destroyed, including 12.5 million animals, mainly birds. In the Sichuan province a million pigs died out of 60 million total. Catastr... | {
"tokens": [
"The",
"earthquake",
"left",
"at",
"least",
"5",
"million",
"people",
"without",
"housing",
",",
"although",
"the",
"number",
"could",
"be",
"as",
"high",
"as",
"11",
"million",
".",
"Millions",
"of",
"li... | 0cf1813accd8426793f5df0a11029252 | How many people were left without housing? | {
"tokens": [
"How",
"many",
"people",
"were",
"left",
"without",
"housing",
"?"
],
"offsets": [
0,
4,
9,
16,
21,
26,
34,
41
]
} | {
"text": [
"5 million"
],
"char_spans": [
{
"start": [
29
],
"end": [
37
]
}
],
"token_spans": [
{
"start": [
5
],
"end": [
6
]
}
]
} | [
"5 million"
] |
SQuAD | The earthquake left at least 5 million people without housing, although the number could be as high as 11 million. Millions of livestock and a significant amount of agriculture were also destroyed, including 12.5 million animals, mainly birds. In the Sichuan province a million pigs died out of 60 million total. Catastr... | {
"tokens": [
"The",
"earthquake",
"left",
"at",
"least",
"5",
"million",
"people",
"without",
"housing",
",",
"although",
"the",
"number",
"could",
"be",
"as",
"high",
"as",
"11",
"million",
".",
"Millions",
"of",
"li... | c1e0d2fdb2564acd879ddfc96b007e9f | How many people could be potentially without housing? | {
"tokens": [
"How",
"many",
"people",
"could",
"be",
"potentially",
"without",
"housing",
"?"
],
"offsets": [
0,
4,
9,
16,
22,
25,
37,
45,
52
]
} | {
"text": [
"11 million"
],
"char_spans": [
{
"start": [
103
],
"end": [
112
]
}
],
"token_spans": [
{
"start": [
19
],
"end": [
20
]
}
]
} | [
"11 million"
] |
SQuAD | The earthquake left at least 5 million people without housing, although the number could be as high as 11 million. Millions of livestock and a significant amount of agriculture were also destroyed, including 12.5 million animals, mainly birds. In the Sichuan province a million pigs died out of 60 million total. Catastr... | {
"tokens": [
"The",
"earthquake",
"left",
"at",
"least",
"5",
"million",
"people",
"without",
"housing",
",",
"although",
"the",
"number",
"could",
"be",
"as",
"high",
"as",
"11",
"million",
".",
"Millions",
"of",
"li... | dea01e7d30aa4211b3ba9c2cb6680fe2 | How many animals were killed? | {
"tokens": [
"How",
"many",
"animals",
"were",
"killed",
"?"
],
"offsets": [
0,
4,
9,
17,
22,
28
]
} | {
"text": [
"12.5 million"
],
"char_spans": [
{
"start": [
208
],
"end": [
219
]
}
],
"token_spans": [
{
"start": [
36
],
"end": [
37
]
}
]
} | [
"12.5 million"
] |
SQuAD | The earthquake left at least 5 million people without housing, although the number could be as high as 11 million. Millions of livestock and a significant amount of agriculture were also destroyed, including 12.5 million animals, mainly birds. In the Sichuan province a million pigs died out of 60 million total. Catastr... | {
"tokens": [
"The",
"earthquake",
"left",
"at",
"least",
"5",
"million",
"people",
"without",
"housing",
",",
"although",
"the",
"number",
"could",
"be",
"as",
"high",
"as",
"11",
"million",
".",
"Millions",
"of",
"li... | 790dde179e6243bca7472496e62d62e3 | Because of the earthquake, how many people did not have housing? | {
"tokens": [
"Because",
"of",
"the",
"earthquake",
",",
"how",
"many",
"people",
"did",
"not",
"have",
"housing",
"?"
],
"offsets": [
0,
8,
11,
15,
25,
27,
31,
36,
43,
47,
51,
56,
63
]
} | {
"text": [
"at least 5 million"
],
"char_spans": [
{
"start": [
20
],
"end": [
37
]
}
],
"token_spans": [
{
"start": [
3
],
"end": [
6
]
}
]
} | [
"at least 5 million"
] |
SQuAD | The earthquake left at least 5 million people without housing, although the number could be as high as 11 million. Millions of livestock and a significant amount of agriculture were also destroyed, including 12.5 million animals, mainly birds. In the Sichuan province a million pigs died out of 60 million total. Catastr... | {
"tokens": [
"The",
"earthquake",
"left",
"at",
"least",
"5",
"million",
"people",
"without",
"housing",
",",
"although",
"the",
"number",
"could",
"be",
"as",
"high",
"as",
"11",
"million",
".",
"Millions",
"of",
"li... | 40034ad560f044a7b431153e20b281bd | How many people might actually be homeless? | {
"tokens": [
"How",
"many",
"people",
"might",
"actually",
"be",
"homeless",
"?"
],
"offsets": [
0,
4,
9,
16,
22,
31,
34,
42
]
} | {
"text": [
"11 million"
],
"char_spans": [
{
"start": [
103
],
"end": [
112
]
}
],
"token_spans": [
{
"start": [
19
],
"end": [
20
]
}
]
} | [
"11 million"
] |
SQuAD | The earthquake left at least 5 million people without housing, although the number could be as high as 11 million. Millions of livestock and a significant amount of agriculture were also destroyed, including 12.5 million animals, mainly birds. In the Sichuan province a million pigs died out of 60 million total. Catastr... | {
"tokens": [
"The",
"earthquake",
"left",
"at",
"least",
"5",
"million",
"people",
"without",
"housing",
",",
"although",
"the",
"number",
"could",
"be",
"as",
"high",
"as",
"11",
"million",
".",
"Millions",
"of",
"li... | f14caab73b584bb0996993fae9e680f5 | How much livestock was lost? | {
"tokens": [
"How",
"much",
"livestock",
"was",
"lost",
"?"
],
"offsets": [
0,
4,
9,
19,
23,
27
]
} | {
"text": [
"12.5 million animals"
],
"char_spans": [
{
"start": [
208
],
"end": [
227
]
}
],
"token_spans": [
{
"start": [
36
],
"end": [
38
]
}
]
} | [
"12.5 million animals"
] |
SQuAD | The earthquake left at least 5 million people without housing, although the number could be as high as 11 million. Millions of livestock and a significant amount of agriculture were also destroyed, including 12.5 million animals, mainly birds. In the Sichuan province a million pigs died out of 60 million total. Catastr... | {
"tokens": [
"The",
"earthquake",
"left",
"at",
"least",
"5",
"million",
"people",
"without",
"housing",
",",
"although",
"the",
"number",
"could",
"be",
"as",
"high",
"as",
"11",
"million",
".",
"Millions",
"of",
"li... | 650e4dd548a24e668e6994e7941d88cb | How many pigs died from the earthquake in Sichuan ? | {
"tokens": [
"How",
"many",
"pigs",
"died",
"from",
"the",
"earthquake",
"in",
"Sichuan",
"?"
],
"offsets": [
0,
4,
9,
14,
19,
24,
28,
39,
42,
50
]
} | {
"text": [
"a million"
],
"char_spans": [
{
"start": [
268
],
"end": [
276
]
}
],
"token_spans": [
{
"start": [
47
],
"end": [
48
]
}
]
} | [
"a million"
] |
SQuAD | On May 16 China stated it had also received $457 million in donated money and goods for rescue efforts so far, including $83 million from 19 countries and four international organizations. Saudi Arabia was the largest aid donor to China, providing close to €40,000,000 in financial assistance, and an additional €8,000,0... | {
"tokens": [
"On",
"May",
"16",
"China",
"stated",
"it",
"had",
"also",
"received",
"$",
"457",
"million",
"in",
"donated",
"money",
"and",
"goods",
"for",
"rescue",
"efforts",
"so",
"far",
",",
"including",
"$",
... | d3a45be65ea1482190c36e42332f7e9f | How much did China receive in donated money and goods? | {
"tokens": [
"How",
"much",
"did",
"China",
"receive",
"in",
"donated",
"money",
"and",
"goods",
"?"
],
"offsets": [
0,
4,
9,
13,
19,
27,
30,
38,
44,
48,
53
]
} | {
"text": [
"$457 million"
],
"char_spans": [
{
"start": [
44
],
"end": [
55
]
}
],
"token_spans": [
{
"start": [
9
],
"end": [
11
]
}
]
} | [
"$457 million"
] |
SQuAD | On May 16 China stated it had also received $457 million in donated money and goods for rescue efforts so far, including $83 million from 19 countries and four international organizations. Saudi Arabia was the largest aid donor to China, providing close to €40,000,000 in financial assistance, and an additional €8,000,0... | {
"tokens": [
"On",
"May",
"16",
"China",
"stated",
"it",
"had",
"also",
"received",
"$",
"457",
"million",
"in",
"donated",
"money",
"and",
"goods",
"for",
"rescue",
"efforts",
"so",
"far",
",",
"including",
"$",
... | 34d97155d1c541beb9adc0f0d735a2cc | How many countries donated? | {
"tokens": [
"How",
"many",
"countries",
"donated",
"?"
],
"offsets": [
0,
4,
9,
19,
26
]
} | {
"text": [
"19 countries"
],
"char_spans": [
{
"start": [
138
],
"end": [
149
]
}
],
"token_spans": [
{
"start": [
28
],
"end": [
29
]
}
]
} | [
"19 countries"
] |
SQuAD | On May 16 China stated it had also received $457 million in donated money and goods for rescue efforts so far, including $83 million from 19 countries and four international organizations. Saudi Arabia was the largest aid donor to China, providing close to €40,000,000 in financial assistance, and an additional €8,000,0... | {
"tokens": [
"On",
"May",
"16",
"China",
"stated",
"it",
"had",
"also",
"received",
"$",
"457",
"million",
"in",
"donated",
"money",
"and",
"goods",
"for",
"rescue",
"efforts",
"so",
"far",
",",
"including",
"$",
... | 4212127508854434bb7400514aa25bb1 | How many international organizations donated? | {
"tokens": [
"How",
"many",
"international",
"organizations",
"donated",
"?"
],
"offsets": [
0,
4,
9,
23,
37,
44
]
} | {
"text": [
"four"
],
"char_spans": [
{
"start": [
155
],
"end": [
158
]
}
],
"token_spans": [
{
"start": [
31
],
"end": [
31
]
}
]
} | [
"four"
] |
SQuAD | On May 16 China stated it had also received $457 million in donated money and goods for rescue efforts so far, including $83 million from 19 countries and four international organizations. Saudi Arabia was the largest aid donor to China, providing close to €40,000,000 in financial assistance, and an additional €8,000,0... | {
"tokens": [
"On",
"May",
"16",
"China",
"stated",
"it",
"had",
"also",
"received",
"$",
"457",
"million",
"in",
"donated",
"money",
"and",
"goods",
"for",
"rescue",
"efforts",
"so",
"far",
",",
"including",
"$",
... | b0cc4e537b4548fc8320fa4ef1b38782 | What country was the largest aid donor to China? | {
"tokens": [
"What",
"country",
"was",
"the",
"largest",
"aid",
"donor",
"to",
"China",
"?"
],
"offsets": [
0,
5,
13,
17,
21,
29,
33,
39,
42,
47
]
} | {
"text": [
"Saudi Arabia"
],
"char_spans": [
{
"start": [
189
],
"end": [
200
]
}
],
"token_spans": [
{
"start": [
35
],
"end": [
36
]
}
]
} | [
"Saudi Arabia"
] |
SQuAD | On May 16 China stated it had also received $457 million in donated money and goods for rescue efforts so far, including $83 million from 19 countries and four international organizations. Saudi Arabia was the largest aid donor to China, providing close to €40,000,000 in financial assistance, and an additional €8,000,0... | {
"tokens": [
"On",
"May",
"16",
"China",
"stated",
"it",
"had",
"also",
"received",
"$",
"457",
"million",
"in",
"donated",
"money",
"and",
"goods",
"for",
"rescue",
"efforts",
"so",
"far",
",",
"including",
"$",
... | 5bb18f9cbf0e4797aa8bb74c9bfa986f | How much financial assistance did Saudi Arabia give China? | {
"tokens": [
"How",
"much",
"financial",
"assistance",
"did",
"Saudi",
"Arabia",
"give",
"China",
"?"
],
"offsets": [
0,
4,
9,
19,
30,
34,
40,
47,
52,
57
]
} | {
"text": [
"€40,000,000"
],
"char_spans": [
{
"start": [
257
],
"end": [
267
]
}
],
"token_spans": [
{
"start": [
48
],
"end": [
49
]
}
]
} | [
"€40,000,000"
] |
SQuAD | On May 16 China stated it had also received $457 million in donated money and goods for rescue efforts so far, including $83 million from 19 countries and four international organizations. Saudi Arabia was the largest aid donor to China, providing close to €40,000,000 in financial assistance, and an additional €8,000,0... | {
"tokens": [
"On",
"May",
"16",
"China",
"stated",
"it",
"had",
"also",
"received",
"$",
"457",
"million",
"in",
"donated",
"money",
"and",
"goods",
"for",
"rescue",
"efforts",
"so",
"far",
",",
"including",
"$",
... | 356a52f8cbfb4cdfa1fb04732c19c28c | How much money was donated from foreign sources? | {
"tokens": [
"How",
"much",
"money",
"was",
"donated",
"from",
"foreign",
"sources",
"?"
],
"offsets": [
0,
4,
9,
15,
19,
27,
32,
40,
47
]
} | {
"text": [
"83 million"
],
"char_spans": [
{
"start": [
122
],
"end": [
131
]
}
],
"token_spans": [
{
"start": [
25
],
"end": [
26
]
}
]
} | [
"83 million"
] |
SQuAD | On May 16 China stated it had also received $457 million in donated money and goods for rescue efforts so far, including $83 million from 19 countries and four international organizations. Saudi Arabia was the largest aid donor to China, providing close to €40,000,000 in financial assistance, and an additional €8,000,0... | {
"tokens": [
"On",
"May",
"16",
"China",
"stated",
"it",
"had",
"also",
"received",
"$",
"457",
"million",
"in",
"donated",
"money",
"and",
"goods",
"for",
"rescue",
"efforts",
"so",
"far",
",",
"including",
"$",
... | e67ee641c0504753be6fd2149a28fede | What country was the largest aid donor to China? | {
"tokens": [
"What",
"country",
"was",
"the",
"largest",
"aid",
"donor",
"to",
"China",
"?"
],
"offsets": [
0,
5,
13,
17,
21,
29,
33,
39,
42,
47
]
} | {
"text": [
"Saudi Arabia"
],
"char_spans": [
{
"start": [
189
],
"end": [
200
]
}
],
"token_spans": [
{
"start": [
35
],
"end": [
36
]
}
]
} | [
"Saudi Arabia"
] |
SQuAD | On May 16 China stated it had also received $457 million in donated money and goods for rescue efforts so far, including $83 million from 19 countries and four international organizations. Saudi Arabia was the largest aid donor to China, providing close to €40,000,000 in financial assistance, and an additional €8,000,0... | {
"tokens": [
"On",
"May",
"16",
"China",
"stated",
"it",
"had",
"also",
"received",
"$",
"457",
"million",
"in",
"donated",
"money",
"and",
"goods",
"for",
"rescue",
"efforts",
"so",
"far",
",",
"including",
"$",
... | 1d61d95fa5f8423d819b28dcdbdb1816 | How many international organizations made donations? | {
"tokens": [
"How",
"many",
"international",
"organizations",
"made",
"donations",
"?"
],
"offsets": [
0,
4,
9,
23,
37,
42,
51
]
} | {
"text": [
"four"
],
"char_spans": [
{
"start": [
155
],
"end": [
158
]
}
],
"token_spans": [
{
"start": [
31
],
"end": [
31
]
}
]
} | [
"four"
] |
SQuAD | The earthquake also provided opportunities for researchers to retrofit data in order to model future earthquake predictions. Using data from the Intermagnet Lanzhou geomagnetic observatory, geologists Lazo Pekevski from the Ss. Cyril and Methodius University of Skopje in Macedonia and Strachimir Mavrodiev from the Bulg... | {
"tokens": [
"The",
"earthquake",
"also",
"provided",
"opportunities",
"for",
"researchers",
"to",
"retrofit",
"data",
"in",
"order",
"to",
"model",
"future",
"earthquake",
"predictions",
".",
"Using",
"data",
"from",
"the",
... | ea321be5a54a4eccba25c5a7c7d686a1 | What did the earthquake allow? | {
"tokens": [
"What",
"did",
"the",
"earthquake",
"allow",
"?"
],
"offsets": [
0,
5,
9,
13,
24,
29
]
} | {
"text": [
"opportunities for researchers to retrofit data in order to model future earthquake predictions"
],
"char_spans": [
{
"start": [
29
],
"end": [
122
]
}
],
"token_spans": [
{
"start": [
4
],
"end": [
16
... | [
"opportunities for researchers to retrofit data in order to model future earthquake predictions"
] |
SQuAD | The earthquake also provided opportunities for researchers to retrofit data in order to model future earthquake predictions. Using data from the Intermagnet Lanzhou geomagnetic observatory, geologists Lazo Pekevski from the Ss. Cyril and Methodius University of Skopje in Macedonia and Strachimir Mavrodiev from the Bulg... | {
"tokens": [
"The",
"earthquake",
"also",
"provided",
"opportunities",
"for",
"researchers",
"to",
"retrofit",
"data",
"in",
"order",
"to",
"model",
"future",
"earthquake",
"predictions",
".",
"Using",
"data",
"from",
"the",
... | bd28d3d9df714980b2360a9a1b22ac87 | What did the professors predict? | {
"tokens": [
"What",
"did",
"the",
"professors",
"predict",
"?"
],
"offsets": [
0,
5,
9,
13,
24,
31
]
} | {
"text": [
"the time of the 2008 Sichuan earthquake"
],
"char_spans": [
{
"start": [
530
],
"end": [
568
]
}
],
"token_spans": [
{
"start": [
80
],
"end": [
86
]
}
]
} | [
"the time of the 2008 Sichuan earthquake"
] |
SQuAD | The earthquake also provided opportunities for researchers to retrofit data in order to model future earthquake predictions. Using data from the Intermagnet Lanzhou geomagnetic observatory, geologists Lazo Pekevski from the Ss. Cyril and Methodius University of Skopje in Macedonia and Strachimir Mavrodiev from the Bulg... | {
"tokens": [
"The",
"earthquake",
"also",
"provided",
"opportunities",
"for",
"researchers",
"to",
"retrofit",
"data",
"in",
"order",
"to",
"model",
"future",
"earthquake",
"predictions",
".",
"Using",
"data",
"from",
"the",
... | 970b71365ce74b72a58a6e522fff65f2 | What did they try to establish? | {
"tokens": [
"What",
"did",
"they",
"try",
"to",
"establish",
"?"
],
"offsets": [
0,
5,
9,
14,
18,
21,
30
]
} | {
"text": [
"time prediction method"
],
"char_spans": [
{
"start": [
372
],
"end": [
393
]
}
],
"token_spans": [
{
"start": [
56
],
"end": [
58
]
}
]
} | [
"time prediction method"
] |
SQuAD | The earthquake also provided opportunities for researchers to retrofit data in order to model future earthquake predictions. Using data from the Intermagnet Lanzhou geomagnetic observatory, geologists Lazo Pekevski from the Ss. Cyril and Methodius University of Skopje in Macedonia and Strachimir Mavrodiev from the Bulg... | {
"tokens": [
"The",
"earthquake",
"also",
"provided",
"opportunities",
"for",
"researchers",
"to",
"retrofit",
"data",
"in",
"order",
"to",
"model",
"future",
"earthquake",
"predictions",
".",
"Using",
"data",
"from",
"the",
... | 8653efeb5b5946ffba8546e772c8606e | What did they collect to use in this method? | {
"tokens": [
"What",
"did",
"they",
"collect",
"to",
"use",
"in",
"this",
"method",
"?"
],
"offsets": [
0,
5,
9,
14,
22,
25,
29,
32,
37,
43
]
} | {
"text": [
"statistics"
],
"char_spans": [
{
"start": [
415
],
"end": [
424
]
}
],
"token_spans": [
{
"start": [
62
],
"end": [
62
]
}
]
} | [
"statistics"
] |
SQuAD | Initially, officials were unable to contact the Wolong National Nature Reserve, home to around 280 giant pandas. However, the Foreign Ministry later said that a group of 31 British tourists visiting the Wolong Panda Reserve in the quake-hit area returned safe and uninjured to Chengdu. Nonetheless, the well-being of an ... | {
"tokens": [
"Initially",
",",
"officials",
"were",
"unable",
"to",
"contact",
"the",
"Wolong",
"National",
"Nature",
"Reserve",
",",
"home",
"to",
"around",
"280",
"giant",
"pandas",
".",
"However",
",",
"the",
"Foreign"... | 09697c2afef9477bbe7a6f7ba51a8920 | What place could officials not contact? | {
"tokens": [
"What",
"place",
"could",
"officials",
"not",
"contact",
"?"
],
"offsets": [
0,
5,
11,
17,
27,
31,
38
]
} | {
"text": [
"the Wolong National Nature Reserve"
],
"char_spans": [
{
"start": [
44
],
"end": [
77
]
}
],
"token_spans": [
{
"start": [
7
],
"end": [
11
]
}
]
} | [
"the Wolong National Nature Reserve"
] |
SQuAD | Initially, officials were unable to contact the Wolong National Nature Reserve, home to around 280 giant pandas. However, the Foreign Ministry later said that a group of 31 British tourists visiting the Wolong Panda Reserve in the quake-hit area returned safe and uninjured to Chengdu. Nonetheless, the well-being of an ... | {
"tokens": [
"Initially",
",",
"officials",
"were",
"unable",
"to",
"contact",
"the",
"Wolong",
"National",
"Nature",
"Reserve",
",",
"home",
"to",
"around",
"280",
"giant",
"pandas",
".",
"However",
",",
"the",
"Foreign"... | ce0f073ac227416a849103f7a138412f | How many pandas live at the Reserve? | {
"tokens": [
"How",
"many",
"pandas",
"live",
"at",
"the",
"Reserve",
"?"
],
"offsets": [
0,
4,
9,
16,
21,
24,
28,
35
]
} | {
"text": [
"around 280"
],
"char_spans": [
{
"start": [
88
],
"end": [
97
]
}
],
"token_spans": [
{
"start": [
15
],
"end": [
16
]
}
]
} | [
"around 280"
] |
SQuAD | Initially, officials were unable to contact the Wolong National Nature Reserve, home to around 280 giant pandas. However, the Foreign Ministry later said that a group of 31 British tourists visiting the Wolong Panda Reserve in the quake-hit area returned safe and uninjured to Chengdu. Nonetheless, the well-being of an ... | {
"tokens": [
"Initially",
",",
"officials",
"were",
"unable",
"to",
"contact",
"the",
"Wolong",
"National",
"Nature",
"Reserve",
",",
"home",
"to",
"around",
"280",
"giant",
"pandas",
".",
"However",
",",
"the",
"Foreign"... | b00d00528bc14b109fc3481f5849d1a4 | How many British visitors to the Reserve left unharmed? | {
"tokens": [
"How",
"many",
"British",
"visitors",
"to",
"the",
"Reserve",
"left",
"unharmed",
"?"
],
"offsets": [
0,
4,
9,
17,
26,
29,
33,
41,
46,
54
]
} | {
"text": [
"31"
],
"char_spans": [
{
"start": [
170
],
"end": [
171
]
}
],
"token_spans": [
{
"start": [
31
],
"end": [
31
]
}
]
} | [
"31"
] |
SQuAD | Initially, officials were unable to contact the Wolong National Nature Reserve, home to around 280 giant pandas. However, the Foreign Ministry later said that a group of 31 British tourists visiting the Wolong Panda Reserve in the quake-hit area returned safe and uninjured to Chengdu. Nonetheless, the well-being of an ... | {
"tokens": [
"Initially",
",",
"officials",
"were",
"unable",
"to",
"contact",
"the",
"Wolong",
"National",
"Nature",
"Reserve",
",",
"home",
"to",
"around",
"280",
"giant",
"pandas",
".",
"However",
",",
"the",
"Foreign"... | bacea6a038214083a7882fc35bf5996c | What nature center was cutoff? | {
"tokens": [
"What",
"nature",
"center",
"was",
"cutoff",
"?"
],
"offsets": [
0,
5,
12,
19,
23,
29
]
} | {
"text": [
"Wolong National Nature Reserve"
],
"char_spans": [
{
"start": [
48
],
"end": [
77
]
}
],
"token_spans": [
{
"start": [
8
],
"end": [
11
]
}
]
} | [
"Wolong National Nature Reserve"
] |
SQuAD | Initially, officials were unable to contact the Wolong National Nature Reserve, home to around 280 giant pandas. However, the Foreign Ministry later said that a group of 31 British tourists visiting the Wolong Panda Reserve in the quake-hit area returned safe and uninjured to Chengdu. Nonetheless, the well-being of an ... | {
"tokens": [
"Initially",
",",
"officials",
"were",
"unable",
"to",
"contact",
"the",
"Wolong",
"National",
"Nature",
"Reserve",
",",
"home",
"to",
"around",
"280",
"giant",
"pandas",
".",
"However",
",",
"the",
"Foreign"... | 471c7a3af0904cada8afeb078a5966a6 | How many pandas escaped the reserve? | {
"tokens": [
"How",
"many",
"pandas",
"escaped",
"the",
"reserve",
"?"
],
"offsets": [
0,
4,
9,
16,
24,
28,
35
]
} | {
"text": [
"Six"
],
"char_spans": [
{
"start": [
470
],
"end": [
472
]
}
],
"token_spans": [
{
"start": [
85
],
"end": [
85
]
}
]
} | [
"Six"
] |
SQuAD | Initially, officials were unable to contact the Wolong National Nature Reserve, home to around 280 giant pandas. However, the Foreign Ministry later said that a group of 31 British tourists visiting the Wolong Panda Reserve in the quake-hit area returned safe and uninjured to Chengdu. Nonetheless, the well-being of an ... | {
"tokens": [
"Initially",
",",
"officials",
"were",
"unable",
"to",
"contact",
"the",
"Wolong",
"National",
"Nature",
"Reserve",
",",
"home",
"to",
"around",
"280",
"giant",
"pandas",
".",
"However",
",",
"the",
"Foreign"... | 9be5a5513b794519b8065053dba256ec | How many security guards died at the reserve? | {
"tokens": [
"How",
"many",
"security",
"guards",
"died",
"at",
"the",
"reserve",
"?"
],
"offsets": [
0,
4,
9,
18,
25,
30,
33,
37,
44
]
} | {
"text": [
"five"
],
"char_spans": [
{
"start": [
834
],
"end": [
837
]
}
],
"token_spans": [
{
"start": [
162
],
"end": [
162
]
}
]
} | [
"five"
] |
SQuAD | Initially, officials were unable to contact the Wolong National Nature Reserve, home to around 280 giant pandas. However, the Foreign Ministry later said that a group of 31 British tourists visiting the Wolong Panda Reserve in the quake-hit area returned safe and uninjured to Chengdu. Nonetheless, the well-being of an ... | {
"tokens": [
"Initially",
",",
"officials",
"were",
"unable",
"to",
"contact",
"the",
"Wolong",
"National",
"Nature",
"Reserve",
",",
"home",
"to",
"around",
"280",
"giant",
"pandas",
".",
"However",
",",
"the",
"Foreign"... | 149746de9be942198250dac39d91b335 | What famous panda was killed under the rubble? | {
"tokens": [
"What",
"famous",
"panda",
"was",
"killed",
"under",
"the",
"rubble",
"?"
],
"offsets": [
0,
5,
12,
18,
22,
29,
35,
39,
45
]
} | {
"text": [
"Mao Mao"
],
"char_spans": [
{
"start": [
813
],
"end": [
819
]
}
],
"token_spans": [
{
"start": [
156
],
"end": [
157
]
}
]
} | [
"Mao Mao"
] |
SQuAD | In 2008, State Council established a counterpart support plan (《汶川地震灾后恢复重建对口支援方案》). The plan is to arrange 19 eastern and central province and municipalitie to help 18 counties, on "one province to one affected county" basis. The plan spanned 3 years, and cost no less than one percent of the province or municipality's ... | {
"tokens": [
"In",
"2008",
",",
"State",
"Council",
"established",
"a",
"counterpart",
"support",
"plan",
"(",
"《",
"汶川地震灾后恢复重建对口支援方案",
"》",
")",
".",
"The",
"plan",
"is",
"to",
"arrange",
"19",
"eastern",
"and",
"cen... | 194aa044be104ef195ee5e7c17ef133d | What did the State Council establish in 2008? | {
"tokens": [
"What",
"did",
"the",
"State",
"Council",
"establish",
"in",
"2008",
"?"
],
"offsets": [
0,
5,
9,
13,
19,
27,
37,
40,
44
]
} | {
"text": [
"a counterpart support plan"
],
"char_spans": [
{
"start": [
35
],
"end": [
60
]
}
],
"token_spans": [
{
"start": [
6
],
"end": [
9
]
}
]
} | [
"a counterpart support plan"
] |
SQuAD | In 2008, State Council established a counterpart support plan (《汶川地震灾后恢复重建对口支援方案》). The plan is to arrange 19 eastern and central province and municipalitie to help 18 counties, on "one province to one affected county" basis. The plan spanned 3 years, and cost no less than one percent of the province or municipality's ... | {
"tokens": [
"In",
"2008",
",",
"State",
"Council",
"established",
"a",
"counterpart",
"support",
"plan",
"(",
"《",
"汶川地震灾后恢复重建对口支援方案",
"》",
")",
".",
"The",
"plan",
"is",
"to",
"arrange",
"19",
"eastern",
"and",
"cen... | c792b3c540b74785b2039b8b54e7e11f | How long did the plan last? | {
"tokens": [
"How",
"long",
"did",
"the",
"plan",
"last",
"?"
],
"offsets": [
0,
4,
9,
13,
17,
22,
26
]
} | {
"text": [
"3 years"
],
"char_spans": [
{
"start": [
243
],
"end": [
249
]
}
],
"token_spans": [
{
"start": [
47
],
"end": [
48
]
}
]
} | [
"3 years"
] |
SQuAD | In 2008, State Council established a counterpart support plan (《汶川地震灾后恢复重建对口支援方案》). The plan is to arrange 19 eastern and central province and municipalitie to help 18 counties, on "one province to one affected county" basis. The plan spanned 3 years, and cost no less than one percent of the province or municipality's ... | {
"tokens": [
"In",
"2008",
",",
"State",
"Council",
"established",
"a",
"counterpart",
"support",
"plan",
"(",
"《",
"汶川地震灾后恢复重建对口支援方案",
"》",
")",
".",
"The",
"plan",
"is",
"to",
"arrange",
"19",
"eastern",
"and",
"cen... | d513d95363124e95abfc9acb3687ae25 | What did the state council set up in 2008? | {
"tokens": [
"What",
"did",
"the",
"state",
"council",
"set",
"up",
"in",
"2008",
"?"
],
"offsets": [
0,
5,
9,
13,
19,
27,
31,
34,
37,
41
]
} | {
"text": [
"counterpart support plan"
],
"char_spans": [
{
"start": [
37
],
"end": [
60
]
}
],
"token_spans": [
{
"start": [
7
],
"end": [
9
]
}
]
} | [
"counterpart support plan"
] |
SQuAD | In 2008, State Council established a counterpart support plan (《汶川地震灾后恢复重建对口支援方案》). The plan is to arrange 19 eastern and central province and municipalitie to help 18 counties, on "one province to one affected county" basis. The plan spanned 3 years, and cost no less than one percent of the province or municipality's ... | {
"tokens": [
"In",
"2008",
",",
"State",
"Council",
"established",
"a",
"counterpart",
"support",
"plan",
"(",
"《",
"汶川地震灾后恢复重建对口支援方案",
"》",
")",
".",
"The",
"plan",
"is",
"to",
"arrange",
"19",
"eastern",
"and",
"cen... | ee6a6e3d6f604ca48d9a9d0c96606e84 | What is the basis for this plan? | {
"tokens": [
"What",
"is",
"the",
"basis",
"for",
"this",
"plan",
"?"
],
"offsets": [
0,
5,
8,
12,
18,
22,
27,
31
]
} | {
"text": [
"one province to one affected county"
],
"char_spans": [
{
"start": [
182
],
"end": [
216
]
}
],
"token_spans": [
{
"start": [
35
],
"end": [
40
]
}
]
} | [
"one province to one affected county"
] |
SQuAD | In 2008, State Council established a counterpart support plan (《汶川地震灾后恢复重建对口支援方案》). The plan is to arrange 19 eastern and central province and municipalitie to help 18 counties, on "one province to one affected county" basis. The plan spanned 3 years, and cost no less than one percent of the province or municipality's ... | {
"tokens": [
"In",
"2008",
",",
"State",
"Council",
"established",
"a",
"counterpart",
"support",
"plan",
"(",
"《",
"汶川地震灾后恢复重建对口支援方案",
"》",
")",
".",
"The",
"plan",
"is",
"to",
"arrange",
"19",
"eastern",
"and",
"cen... | 24b19a653f5a40a0b556e14e2ed16b52 | How long is the plan due to last? | {
"tokens": [
"How",
"long",
"is",
"the",
"plan",
"due",
"to",
"last",
"?"
],
"offsets": [
0,
4,
9,
12,
16,
21,
25,
28,
32
]
} | {
"text": [
"3 years"
],
"char_spans": [
{
"start": [
243
],
"end": [
249
]
}
],
"token_spans": [
{
"start": [
47
],
"end": [
48
]
}
]
} | [
"3 years"
] |
SQuAD | In 2008, State Council established a counterpart support plan (《汶川地震灾后恢复重建对口支援方案》). The plan is to arrange 19 eastern and central province and municipalitie to help 18 counties, on "one province to one affected county" basis. The plan spanned 3 years, and cost no less than one percent of the province or municipality's ... | {
"tokens": [
"In",
"2008",
",",
"State",
"Council",
"established",
"a",
"counterpart",
"support",
"plan",
"(",
"《",
"汶川地震灾后恢复重建对口支援方案",
"》",
")",
".",
"The",
"plan",
"is",
"to",
"arrange",
"19",
"eastern",
"and",
"cen... | a175351adb1a4eb1be4d079ce574ed19 | What is the cost per province's budget? | {
"tokens": [
"What",
"is",
"the",
"cost",
"per",
"province",
"'s",
"budget",
"?"
],
"offsets": [
0,
5,
8,
12,
17,
21,
29,
32,
38
]
} | {
"text": [
"one percent"
],
"char_spans": [
{
"start": [
274
],
"end": [
284
]
}
],
"token_spans": [
{
"start": [
55
],
"end": [
56
]
}
]
} | [
"one percent"
] |
SQuAD | An earthquake emergency relief team of 184 people (consisting of 12 people from the State Seismological Bureau, 150 from the Beijing Military Area Command, and 22 from the Armed Police General Hospital) left Beijing from Nanyuan Airport late May 12 in two military transport planes to travel to Wenchuan County. | {
"tokens": [
"An",
"earthquake",
"emergency",
"relief",
"team",
"of",
"184",
"people",
"(",
"consisting",
"of",
"12",
"people",
"from",
"the",
"State",
"Seismological",
"Bureau",
",",
"150",
"from",
"the",
"Beijing",
"Mil... | de72ecc1448248288b65820dc3f91052 | How many people were in the earthquake emergency relief team? | {
"tokens": [
"How",
"many",
"people",
"were",
"in",
"the",
"earthquake",
"emergency",
"relief",
"team",
"?"
],
"offsets": [
0,
4,
9,
16,
21,
24,
28,
39,
49,
56,
60
]
} | {
"text": [
"184"
],
"char_spans": [
{
"start": [
39
],
"end": [
41
]
}
],
"token_spans": [
{
"start": [
6
],
"end": [
6
]
}
]
} | [
"184"
] |
SQuAD | An earthquake emergency relief team of 184 people (consisting of 12 people from the State Seismological Bureau, 150 from the Beijing Military Area Command, and 22 from the Armed Police General Hospital) left Beijing from Nanyuan Airport late May 12 in two military transport planes to travel to Wenchuan County. | {
"tokens": [
"An",
"earthquake",
"emergency",
"relief",
"team",
"of",
"184",
"people",
"(",
"consisting",
"of",
"12",
"people",
"from",
"the",
"State",
"Seismological",
"Bureau",
",",
"150",
"from",
"the",
"Beijing",
"Mil... | 69c591848ad4467a8262861fc8279c81 | How many of the relief team were from the State Seismological Bureau? | {
"tokens": [
"How",
"many",
"of",
"the",
"relief",
"team",
"were",
"from",
"the",
"State",
"Seismological",
"Bureau",
"?"
],
"offsets": [
0,
4,
9,
12,
16,
23,
28,
33,
38,
42,
48,
62,
68
]
} | {
"text": [
"12"
],
"char_spans": [
{
"start": [
65
],
"end": [
66
]
}
],
"token_spans": [
{
"start": [
11
],
"end": [
11
]
}
]
} | [
"12"
] |
SQuAD | An earthquake emergency relief team of 184 people (consisting of 12 people from the State Seismological Bureau, 150 from the Beijing Military Area Command, and 22 from the Armed Police General Hospital) left Beijing from Nanyuan Airport late May 12 in two military transport planes to travel to Wenchuan County. | {
"tokens": [
"An",
"earthquake",
"emergency",
"relief",
"team",
"of",
"184",
"people",
"(",
"consisting",
"of",
"12",
"people",
"from",
"the",
"State",
"Seismological",
"Bureau",
",",
"150",
"from",
"the",
"Beijing",
"Mil... | 88f6d2614e754c6da90c7cc25ad91f78 | How many of the team were from the military? | {
"tokens": [
"How",
"many",
"of",
"the",
"team",
"were",
"from",
"the",
"military",
"?"
],
"offsets": [
0,
4,
9,
12,
16,
21,
26,
31,
35,
43
]
} | {
"text": [
"150"
],
"char_spans": [
{
"start": [
112
],
"end": [
114
]
}
],
"token_spans": [
{
"start": [
19
],
"end": [
19
]
}
]
} | [
"150"
] |
SQuAD | An earthquake emergency relief team of 184 people (consisting of 12 people from the State Seismological Bureau, 150 from the Beijing Military Area Command, and 22 from the Armed Police General Hospital) left Beijing from Nanyuan Airport late May 12 in two military transport planes to travel to Wenchuan County. | {
"tokens": [
"An",
"earthquake",
"emergency",
"relief",
"team",
"of",
"184",
"people",
"(",
"consisting",
"of",
"12",
"people",
"from",
"the",
"State",
"Seismological",
"Bureau",
",",
"150",
"from",
"the",
"Beijing",
"Mil... | cda6920eb5334b44954cade838e26ab2 | How many of the team were from the police? | {
"tokens": [
"How",
"many",
"of",
"the",
"team",
"were",
"from",
"the",
"police",
"?"
],
"offsets": [
0,
4,
9,
12,
16,
21,
26,
31,
35,
41
]
} | {
"text": [
"22"
],
"char_spans": [
{
"start": [
160
],
"end": [
161
]
}
],
"token_spans": [
{
"start": [
28
],
"end": [
28
]
}
]
} | [
"22"
] |
SQuAD | An earthquake emergency relief team of 184 people (consisting of 12 people from the State Seismological Bureau, 150 from the Beijing Military Area Command, and 22 from the Armed Police General Hospital) left Beijing from Nanyuan Airport late May 12 in two military transport planes to travel to Wenchuan County. | {
"tokens": [
"An",
"earthquake",
"emergency",
"relief",
"team",
"of",
"184",
"people",
"(",
"consisting",
"of",
"12",
"people",
"from",
"the",
"State",
"Seismological",
"Bureau",
",",
"150",
"from",
"the",
"Beijing",
"Mil... | 1b73d2b9914c4013a9ce482828d2013c | What kind of team left Beijing to go to Wenchuan? | {
"tokens": [
"What",
"kind",
"of",
"team",
"left",
"Beijing",
"to",
"go",
"to",
"Wenchuan",
"?"
],
"offsets": [
0,
5,
10,
13,
18,
23,
31,
34,
37,
40,
48
]
} | {
"text": [
"earthquake emergency relief"
],
"char_spans": [
{
"start": [
3
],
"end": [
29
]
}
],
"token_spans": [
{
"start": [
1
],
"end": [
3
]
}
]
} | [
"earthquake emergency relief"
] |
SQuAD | An earthquake emergency relief team of 184 people (consisting of 12 people from the State Seismological Bureau, 150 from the Beijing Military Area Command, and 22 from the Armed Police General Hospital) left Beijing from Nanyuan Airport late May 12 in two military transport planes to travel to Wenchuan County. | {
"tokens": [
"An",
"earthquake",
"emergency",
"relief",
"team",
"of",
"184",
"people",
"(",
"consisting",
"of",
"12",
"people",
"from",
"the",
"State",
"Seismological",
"Bureau",
",",
"150",
"from",
"the",
"Beijing",
"Mil... | f2259fd704ab462184a58d2a96a5408d | How many people comprised the relief team? | {
"tokens": [
"How",
"many",
"people",
"comprised",
"the",
"relief",
"team",
"?"
],
"offsets": [
0,
4,
9,
16,
26,
30,
37,
41
]
} | {
"text": [
"184"
],
"char_spans": [
{
"start": [
39
],
"end": [
41
]
}
],
"token_spans": [
{
"start": [
6
],
"end": [
6
]
}
]
} | [
"184"
] |
SQuAD | An earthquake emergency relief team of 184 people (consisting of 12 people from the State Seismological Bureau, 150 from the Beijing Military Area Command, and 22 from the Armed Police General Hospital) left Beijing from Nanyuan Airport late May 12 in two military transport planes to travel to Wenchuan County. | {
"tokens": [
"An",
"earthquake",
"emergency",
"relief",
"team",
"of",
"184",
"people",
"(",
"consisting",
"of",
"12",
"people",
"from",
"the",
"State",
"Seismological",
"Bureau",
",",
"150",
"from",
"the",
"Beijing",
"Mil... | 39c31616a6be42ae998de39f5904fd5c | How many soldiers were from the Beijing Military? | {
"tokens": [
"How",
"many",
"soldiers",
"were",
"from",
"the",
"Beijing",
"Military",
"?"
],
"offsets": [
0,
4,
9,
18,
23,
28,
32,
40,
48
]
} | {
"text": [
"150"
],
"char_spans": [
{
"start": [
112
],
"end": [
114
]
}
],
"token_spans": [
{
"start": [
19
],
"end": [
19
]
}
]
} | [
"150"
] |
SQuAD | An earthquake emergency relief team of 184 people (consisting of 12 people from the State Seismological Bureau, 150 from the Beijing Military Area Command, and 22 from the Armed Police General Hospital) left Beijing from Nanyuan Airport late May 12 in two military transport planes to travel to Wenchuan County. | {
"tokens": [
"An",
"earthquake",
"emergency",
"relief",
"team",
"of",
"184",
"people",
"(",
"consisting",
"of",
"12",
"people",
"from",
"the",
"State",
"Seismological",
"Bureau",
",",
"150",
"from",
"the",
"Beijing",
"Mil... | d6acce5c510742c99c6aae78196a9adf | Where did 22 of the relief team come from? | {
"tokens": [
"Where",
"did",
"22",
"of",
"the",
"relief",
"team",
"come",
"from",
"?"
],
"offsets": [
0,
6,
10,
13,
16,
20,
27,
32,
37,
41
]
} | {
"text": [
"Armed Police General Hospital"
],
"char_spans": [
{
"start": [
172
],
"end": [
200
]
}
],
"token_spans": [
{
"start": [
31
],
"end": [
34
]
}
]
} | [
"Armed Police General Hospital"
] |
SQuAD | An earthquake emergency relief team of 184 people (consisting of 12 people from the State Seismological Bureau, 150 from the Beijing Military Area Command, and 22 from the Armed Police General Hospital) left Beijing from Nanyuan Airport late May 12 in two military transport planes to travel to Wenchuan County. | {
"tokens": [
"An",
"earthquake",
"emergency",
"relief",
"team",
"of",
"184",
"people",
"(",
"consisting",
"of",
"12",
"people",
"from",
"the",
"State",
"Seismological",
"Bureau",
",",
"150",
"from",
"the",
"Beijing",
"Mil... | 8043c591b128481eb90e381b54017cb5 | How did the relief team travel to Wenchuan county? | {
"tokens": [
"How",
"did",
"the",
"relief",
"team",
"travel",
"to",
"Wenchuan",
"county",
"?"
],
"offsets": [
0,
4,
8,
12,
19,
24,
31,
34,
43,
49
]
} | {
"text": [
"in two military transport planes"
],
"char_spans": [
{
"start": [
249
],
"end": [
280
]
}
],
"token_spans": [
{
"start": [
44
],
"end": [
48
]
}
]
} | [
"in two military transport planes"
] |
SQuAD | General Secretary and President Hu Jintao announced that the disaster response would be rapid. Just 90 minutes after the earthquake, Premier Wen Jiabao, who has an academic background in geomechanics, flew to the earthquake area to oversee the rescue work. Soon afterward, the Ministry of Health said that it had sent te... | {
"tokens": [
"General",
"Secretary",
"and",
"President",
"Hu",
"Jintao",
"announced",
"that",
"the",
"disaster",
"response",
"would",
"be",
"rapid",
".",
"Just",
"90",
"minutes",
"after",
"the",
"earthquake",
",",
"Premier",
... | 0026036ae21e4c7ea845dd3dcd0176f0 | Who flew to the earthquake area 90 minutes after it hit? | {
"tokens": [
"Who",
"flew",
"to",
"the",
"earthquake",
"area",
"90",
"minutes",
"after",
"it",
"hit",
"?"
],
"offsets": [
0,
4,
9,
12,
16,
27,
32,
35,
43,
49,
52,
55
]
} | {
"text": [
"Premier Wen Jiabao"
],
"char_spans": [
{
"start": [
133
],
"end": [
150
]
}
],
"token_spans": [
{
"start": [
22
],
"end": [
24
]
}
]
} | [
"Premier Wen Jiabao"
] |
SQuAD | General Secretary and President Hu Jintao announced that the disaster response would be rapid. Just 90 minutes after the earthquake, Premier Wen Jiabao, who has an academic background in geomechanics, flew to the earthquake area to oversee the rescue work. Soon afterward, the Ministry of Health said that it had sent te... | {
"tokens": [
"General",
"Secretary",
"and",
"President",
"Hu",
"Jintao",
"announced",
"that",
"the",
"disaster",
"response",
"would",
"be",
"rapid",
".",
"Just",
"90",
"minutes",
"after",
"the",
"earthquake",
",",
"Premier",
... | 982b5de76120438488c55ff387780041 | What was Premier Wen Jiabao's background in? | {
"tokens": [
"What",
"was",
"Premier",
"Wen",
"Jiabao",
"'s",
"background",
"in",
"?"
],
"offsets": [
0,
5,
9,
17,
21,
27,
30,
41,
43
]
} | {
"text": [
"geomechanics"
],
"char_spans": [
{
"start": [
187
],
"end": [
198
]
}
],
"token_spans": [
{
"start": [
32
],
"end": [
32
]
}
]
} | [
"geomechanics"
] |
SQuAD | General Secretary and President Hu Jintao announced that the disaster response would be rapid. Just 90 minutes after the earthquake, Premier Wen Jiabao, who has an academic background in geomechanics, flew to the earthquake area to oversee the rescue work. Soon afterward, the Ministry of Health said that it had sent te... | {
"tokens": [
"General",
"Secretary",
"and",
"President",
"Hu",
"Jintao",
"announced",
"that",
"the",
"disaster",
"response",
"would",
"be",
"rapid",
".",
"Just",
"90",
"minutes",
"after",
"the",
"earthquake",
",",
"Premier",
... | bd08b530216b42deaa95e672ba8f0bc6 | What did Jiabao oversee in the region? | {
"tokens": [
"What",
"did",
"Jiabao",
"oversee",
"in",
"the",
"region",
"?"
],
"offsets": [
0,
5,
9,
16,
24,
27,
31,
37
]
} | {
"text": [
"the rescue work"
],
"char_spans": [
{
"start": [
240
],
"end": [
254
]
}
],
"token_spans": [
{
"start": [
41
],
"end": [
43
]
}
]
} | [
"the rescue work"
] |
SQuAD | General Secretary and President Hu Jintao announced that the disaster response would be rapid. Just 90 minutes after the earthquake, Premier Wen Jiabao, who has an academic background in geomechanics, flew to the earthquake area to oversee the rescue work. Soon afterward, the Ministry of Health said that it had sent te... | {
"tokens": [
"General",
"Secretary",
"and",
"President",
"Hu",
"Jintao",
"announced",
"that",
"the",
"disaster",
"response",
"would",
"be",
"rapid",
".",
"Just",
"90",
"minutes",
"after",
"the",
"earthquake",
",",
"Premier",
... | b9e4e903afb943478454852ea002faeb | How many troops were dispatched by the Chengdu military? | {
"tokens": [
"How",
"many",
"troops",
"were",
"dispatched",
"by",
"the",
"Chengdu",
"military",
"?"
],
"offsets": [
0,
4,
9,
16,
21,
32,
35,
39,
47,
55
]
} | {
"text": [
"50,000"
],
"char_spans": [
{
"start": [
430
],
"end": [
435
]
}
],
"token_spans": [
{
"start": [
76
],
"end": [
76
]
}
]
} | [
"50,000"
] |
SQuAD | General Secretary and President Hu Jintao announced that the disaster response would be rapid. Just 90 minutes after the earthquake, Premier Wen Jiabao, who has an academic background in geomechanics, flew to the earthquake area to oversee the rescue work. Soon afterward, the Ministry of Health said that it had sent te... | {
"tokens": [
"General",
"Secretary",
"and",
"President",
"Hu",
"Jintao",
"announced",
"that",
"the",
"disaster",
"response",
"would",
"be",
"rapid",
".",
"Just",
"90",
"minutes",
"after",
"the",
"earthquake",
",",
"Premier",
... | e86edcfda1c643fc92d6a9dc7d058fa0 | How soon after the earthquake was Premier Wen Jiabao on his way to the area? | {
"tokens": [
"How",
"soon",
"after",
"the",
"earthquake",
"was",
"Premier",
"Wen",
"Jiabao",
"on",
"his",
"way",
"to",
"the",
"area",
"?"
],
"offsets": [
0,
4,
9,
15,
19,
30,
34,
42,
46,
53,
56,
60,
... | {
"text": [
"90 minutes after"
],
"char_spans": [
{
"start": [
100
],
"end": [
115
]
}
],
"token_spans": [
{
"start": [
16
],
"end": [
18
]
}
]
} | [
"90 minutes after"
] |
SQuAD | General Secretary and President Hu Jintao announced that the disaster response would be rapid. Just 90 minutes after the earthquake, Premier Wen Jiabao, who has an academic background in geomechanics, flew to the earthquake area to oversee the rescue work. Soon afterward, the Ministry of Health said that it had sent te... | {
"tokens": [
"General",
"Secretary",
"and",
"President",
"Hu",
"Jintao",
"announced",
"that",
"the",
"disaster",
"response",
"would",
"be",
"rapid",
".",
"Just",
"90",
"minutes",
"after",
"the",
"earthquake",
",",
"Premier",
... | edc8d2c691a24db1a0f35f00a8a6a5bb | How many medical teams were sent to Wenchuan county? | {
"tokens": [
"How",
"many",
"medical",
"teams",
"were",
"sent",
"to",
"Wenchuan",
"county",
"?"
],
"offsets": [
0,
4,
9,
17,
23,
28,
33,
36,
45,
51
]
} | {
"text": [
"ten"
],
"char_spans": [
{
"start": [
318
],
"end": [
320
]
}
],
"token_spans": [
{
"start": [
57
],
"end": [
57
]
}
]
} | [
"ten"
] |
SQuAD | General Secretary and President Hu Jintao announced that the disaster response would be rapid. Just 90 minutes after the earthquake, Premier Wen Jiabao, who has an academic background in geomechanics, flew to the earthquake area to oversee the rescue work. Soon afterward, the Ministry of Health said that it had sent te... | {
"tokens": [
"General",
"Secretary",
"and",
"President",
"Hu",
"Jintao",
"announced",
"that",
"the",
"disaster",
"response",
"would",
"be",
"rapid",
".",
"Just",
"90",
"minutes",
"after",
"the",
"earthquake",
",",
"Premier",
... | 022bf6a46be4483eafa0b3e341669f4c | How many troops were sent to the area for relief work? | {
"tokens": [
"How",
"many",
"troops",
"were",
"sent",
"to",
"the",
"area",
"for",
"relief",
"work",
"?"
],
"offsets": [
0,
4,
9,
16,
21,
26,
29,
33,
38,
42,
49,
53
]
} | {
"text": [
"50,000"
],
"char_spans": [
{
"start": [
430
],
"end": [
435
]
}
],
"token_spans": [
{
"start": [
76
],
"end": [
76
]
}
]
} | [
"50,000"
] |
SQuAD | General Secretary and President Hu Jintao announced that the disaster response would be rapid. Just 90 minutes after the earthquake, Premier Wen Jiabao, who has an academic background in geomechanics, flew to the earthquake area to oversee the rescue work. Soon afterward, the Ministry of Health said that it had sent te... | {
"tokens": [
"General",
"Secretary",
"and",
"President",
"Hu",
"Jintao",
"announced",
"that",
"the",
"disaster",
"response",
"would",
"be",
"rapid",
".",
"Just",
"90",
"minutes",
"after",
"the",
"earthquake",
",",
"Premier",
... | 7f300baaaa9a421d8e01033359398fb7 | Besides the rough terrain, why was it difficult to get to the area? | {
"tokens": [
"Besides",
"the",
"rough",
"terrain",
",",
"why",
"was",
"it",
"difficult",
"to",
"get",
"to",
"the",
"area",
"?"
],
"offsets": [
0,
8,
12,
18,
25,
27,
31,
35,
38,
48,
51,
55,
58,
62,
... | {
"text": [
"proximity of the quake's epicenter"
],
"char_spans": [
{
"start": [
559
],
"end": [
592
]
}
],
"token_spans": [
{
"start": [
100
],
"end": [
105
]
}
]
} | [
"proximity of the quake's epicenter"
] |
SQuAD | Executive vice governor Wei Hong confirmed on November 21, 2008 that more than 90,000 people in total were dead or missing in the earthquake. He stated that 200,000 homes had been rebuilt, and 685,000 were under reconstruction, but 1.94 million households were still without permanent shelter. 1,300 schools had been rec... | {
"tokens": [
"Executive",
"vice",
"governor",
"Wei",
"Hong",
"confirmed",
"on",
"November",
"21",
",",
"2008",
"that",
"more",
"than",
"90,000",
"people",
"in",
"total",
"were",
"dead",
"or",
"missing",
"in",
"the",
"... | 6ca39f2fe2fc454391a65f21809e40e1 | Who was the executive vice governor? | {
"tokens": [
"Who",
"was",
"the",
"executive",
"vice",
"governor",
"?"
],
"offsets": [
0,
4,
8,
12,
22,
27,
35
]
} | {
"text": [
"Wei Hong"
],
"char_spans": [
{
"start": [
24
],
"end": [
31
]
}
],
"token_spans": [
{
"start": [
3
],
"end": [
4
]
}
]
} | [
"Wei Hong"
] |
SQuAD | Executive vice governor Wei Hong confirmed on November 21, 2008 that more than 90,000 people in total were dead or missing in the earthquake. He stated that 200,000 homes had been rebuilt, and 685,000 were under reconstruction, but 1.94 million households were still without permanent shelter. 1,300 schools had been rec... | {
"tokens": [
"Executive",
"vice",
"governor",
"Wei",
"Hong",
"confirmed",
"on",
"November",
"21",
",",
"2008",
"that",
"more",
"than",
"90,000",
"people",
"in",
"total",
"were",
"dead",
"or",
"missing",
"in",
"the",
"... | 555ecdbd264c45969da02cd9e1b50ae0 | How many homes were rebuilt? | {
"tokens": [
"How",
"many",
"homes",
"were",
"rebuilt",
"?"
],
"offsets": [
0,
4,
9,
15,
20,
27
]
} | {
"text": [
"200,000"
],
"char_spans": [
{
"start": [
157
],
"end": [
163
]
}
],
"token_spans": [
{
"start": [
29
],
"end": [
29
]
}
]
} | [
"200,000"
] |
SQuAD | Executive vice governor Wei Hong confirmed on November 21, 2008 that more than 90,000 people in total were dead or missing in the earthquake. He stated that 200,000 homes had been rebuilt, and 685,000 were under reconstruction, but 1.94 million households were still without permanent shelter. 1,300 schools had been rec... | {
"tokens": [
"Executive",
"vice",
"governor",
"Wei",
"Hong",
"confirmed",
"on",
"November",
"21",
",",
"2008",
"that",
"more",
"than",
"90,000",
"people",
"in",
"total",
"were",
"dead",
"or",
"missing",
"in",
"the",
"... | 1cfdf848a264407a9365a5c82ba388dc | How many homes were left without permanent shelter? | {
"tokens": [
"How",
"many",
"homes",
"were",
"left",
"without",
"permanent",
"shelter",
"?"
],
"offsets": [
0,
4,
9,
15,
20,
25,
33,
43,
50
]
} | {
"text": [
"1.94 million"
],
"char_spans": [
{
"start": [
232
],
"end": [
243
]
}
],
"token_spans": [
{
"start": [
42
],
"end": [
43
]
}
]
} | [
"1.94 million"
] |
SQuAD | Executive vice governor Wei Hong confirmed on November 21, 2008 that more than 90,000 people in total were dead or missing in the earthquake. He stated that 200,000 homes had been rebuilt, and 685,000 were under reconstruction, but 1.94 million households were still without permanent shelter. 1,300 schools had been rec... | {
"tokens": [
"Executive",
"vice",
"governor",
"Wei",
"Hong",
"confirmed",
"on",
"November",
"21",
",",
"2008",
"that",
"more",
"than",
"90,000",
"people",
"in",
"total",
"were",
"dead",
"or",
"missing",
"in",
"the",
"... | fa09494c483e4f9e887897649ec73dfa | How many schools were reconstructed? | {
"tokens": [
"How",
"many",
"schools",
"were",
"reconstructed",
"?"
],
"offsets": [
0,
4,
9,
17,
22,
35
]
} | {
"text": [
"1,300"
],
"char_spans": [
{
"start": [
294
],
"end": [
298
]
}
],
"token_spans": [
{
"start": [
51
],
"end": [
51
]
}
]
} | [
"1,300"
] |
SQuAD | Executive vice governor Wei Hong confirmed on November 21, 2008 that more than 90,000 people in total were dead or missing in the earthquake. He stated that 200,000 homes had been rebuilt, and 685,000 were under reconstruction, but 1.94 million households were still without permanent shelter. 1,300 schools had been rec... | {
"tokens": [
"Executive",
"vice",
"governor",
"Wei",
"Hong",
"confirmed",
"on",
"November",
"21",
",",
"2008",
"that",
"more",
"than",
"90,000",
"people",
"in",
"total",
"were",
"dead",
"or",
"missing",
"in",
"the",
"... | 118bcf64312a4085978472e186977186 | Who spoke about the dead and missing people on November 21, 2008? | {
"tokens": [
"Who",
"spoke",
"about",
"the",
"dead",
"and",
"missing",
"people",
"on",
"November",
"21",
",",
"2008",
"?"
],
"offsets": [
0,
4,
10,
16,
20,
25,
29,
37,
44,
47,
56,
58,
60,
64
]
} | {
"text": [
"Wei Hong"
],
"char_spans": [
{
"start": [
24
],
"end": [
31
]
}
],
"token_spans": [
{
"start": [
3
],
"end": [
4
]
}
]
} | [
"Wei Hong"
] |
SQuAD | Executive vice governor Wei Hong confirmed on November 21, 2008 that more than 90,000 people in total were dead or missing in the earthquake. He stated that 200,000 homes had been rebuilt, and 685,000 were under reconstruction, but 1.94 million households were still without permanent shelter. 1,300 schools had been rec... | {
"tokens": [
"Executive",
"vice",
"governor",
"Wei",
"Hong",
"confirmed",
"on",
"November",
"21",
",",
"2008",
"that",
"more",
"than",
"90,000",
"people",
"in",
"total",
"were",
"dead",
"or",
"missing",
"in",
"the",
"... | 38791a3c2d2244eb87164be2f2e36110 | How many people did Wei Hong say were dead or missing? | {
"tokens": [
"How",
"many",
"people",
"did",
"Wei",
"Hong",
"say",
"were",
"dead",
"or",
"missing",
"?"
],
"offsets": [
0,
4,
9,
16,
20,
24,
29,
33,
38,
43,
46,
53
]
} | {
"text": [
"90,000"
],
"char_spans": [
{
"start": [
79
],
"end": [
84
]
}
],
"token_spans": [
{
"start": [
14
],
"end": [
14
]
}
]
} | [
"90,000"
] |
SQuAD | Executive vice governor Wei Hong confirmed on November 21, 2008 that more than 90,000 people in total were dead or missing in the earthquake. He stated that 200,000 homes had been rebuilt, and 685,000 were under reconstruction, but 1.94 million households were still without permanent shelter. 1,300 schools had been rec... | {
"tokens": [
"Executive",
"vice",
"governor",
"Wei",
"Hong",
"confirmed",
"on",
"November",
"21",
",",
"2008",
"that",
"more",
"than",
"90,000",
"people",
"in",
"total",
"were",
"dead",
"or",
"missing",
"in",
"the",
"... | 2048270f0d61447fa154f8478bd9793f | How many homes had been rebuilt? | {
"tokens": [
"How",
"many",
"homes",
"had",
"been",
"rebuilt",
"?"
],
"offsets": [
0,
4,
9,
15,
19,
24,
31
]
} | {
"text": [
"200,000"
],
"char_spans": [
{
"start": [
157
],
"end": [
163
]
}
],
"token_spans": [
{
"start": [
29
],
"end": [
29
]
}
]
} | [
"200,000"
] |
SQuAD | Executive vice governor Wei Hong confirmed on November 21, 2008 that more than 90,000 people in total were dead or missing in the earthquake. He stated that 200,000 homes had been rebuilt, and 685,000 were under reconstruction, but 1.94 million households were still without permanent shelter. 1,300 schools had been rec... | {
"tokens": [
"Executive",
"vice",
"governor",
"Wei",
"Hong",
"confirmed",
"on",
"November",
"21",
",",
"2008",
"that",
"more",
"than",
"90,000",
"people",
"in",
"total",
"were",
"dead",
"or",
"missing",
"in",
"the",
"... | b40450f92d044945aaaa25fd20a35d70 | How many houses were still under construction? | {
"tokens": [
"How",
"many",
"houses",
"were",
"still",
"under",
"construction",
"?"
],
"offsets": [
0,
4,
9,
16,
21,
27,
33,
45
]
} | {
"text": [
"685,000"
],
"char_spans": [
{
"start": [
193
],
"end": [
199
]
}
],
"token_spans": [
{
"start": [
36
],
"end": [
36
]
}
]
} | [
"685,000"
] |
SQuAD | Executive vice governor Wei Hong confirmed on November 21, 2008 that more than 90,000 people in total were dead or missing in the earthquake. He stated that 200,000 homes had been rebuilt, and 685,000 were under reconstruction, but 1.94 million households were still without permanent shelter. 1,300 schools had been rec... | {
"tokens": [
"Executive",
"vice",
"governor",
"Wei",
"Hong",
"confirmed",
"on",
"November",
"21",
",",
"2008",
"that",
"more",
"than",
"90,000",
"people",
"in",
"total",
"were",
"dead",
"or",
"missing",
"in",
"the",
"... | 4ad4c19e279742479b1603df4efbf5fa | How many families were still without permanent homes? | {
"tokens": [
"How",
"many",
"families",
"were",
"still",
"without",
"permanent",
"homes",
"?"
],
"offsets": [
0,
4,
9,
18,
23,
29,
37,
47,
52
]
} | {
"text": [
"1.94 million"
],
"char_spans": [
{
"start": [
232
],
"end": [
243
]
}
],
"token_spans": [
{
"start": [
42
],
"end": [
43
]
}
]
} | [
"1.94 million"
] |
SQuAD | In a press conference held by the State Council Information Office the day after the earthquake, geologist Zhang Xiaodong, deputy director of CEA's Seismic Monitoring Network Center, restated that earthquake prediction was a global issue, in the sense that no proven methods exist, and that no prediction notification wa... | {
"tokens": [
"In",
"a",
"press",
"conference",
"held",
"by",
"the",
"State",
"Council",
"Information",
"Office",
"the",
"day",
"after",
"the",
"earthquake",
",",
"geologist",
"Zhang",
"Xiaodong",
",",
"deputy",
"director",
... | 65f1551f89344f4cb5f97ee509dddf9f | What was stated in the press conference? | {
"tokens": [
"What",
"was",
"stated",
"in",
"the",
"press",
"conference",
"?"
],
"offsets": [
0,
5,
9,
16,
19,
23,
29,
39
]
} | {
"text": [
"that earthquake prediction was a global issue"
],
"char_spans": [
{
"start": [
192
],
"end": [
236
]
}
],
"token_spans": [
{
"start": [
32
],
"end": [
38
]
}
]
} | [
"that earthquake prediction was a global issue"
] |
SQuAD | In a press conference held by the State Council Information Office the day after the earthquake, geologist Zhang Xiaodong, deputy director of CEA's Seismic Monitoring Network Center, restated that earthquake prediction was a global issue, in the sense that no proven methods exist, and that no prediction notification wa... | {
"tokens": [
"In",
"a",
"press",
"conference",
"held",
"by",
"the",
"State",
"Council",
"Information",
"Office",
"the",
"day",
"after",
"the",
"earthquake",
",",
"geologist",
"Zhang",
"Xiaodong",
",",
"deputy",
"director",
... | ca8b95fdb1bd4c56a5a3d913ddec72d0 | What do many geologists believe about earthquake prediction? | {
"tokens": [
"What",
"do",
"many",
"geologists",
"believe",
"about",
"earthquake",
"prediction",
"?"
],
"offsets": [
0,
5,
8,
13,
24,
32,
38,
49,
59
]
} | {
"text": [
"no proven methods exist"
],
"char_spans": [
{
"start": [
257
],
"end": [
279
]
}
],
"token_spans": [
{
"start": [
44
],
"end": [
47
]
}
]
} | [
"no proven methods exist"
] |
SQuAD | In a press conference held by the State Council Information Office the day after the earthquake, geologist Zhang Xiaodong, deputy director of CEA's Seismic Monitoring Network Center, restated that earthquake prediction was a global issue, in the sense that no proven methods exist, and that no prediction notification wa... | {
"tokens": [
"In",
"a",
"press",
"conference",
"held",
"by",
"the",
"State",
"Council",
"Information",
"Office",
"the",
"day",
"after",
"the",
"earthquake",
",",
"geologist",
"Zhang",
"Xiaodong",
",",
"deputy",
"director",
... | 8483b0c0f5da466e9c96e4d4a1bdbf91 | What kind of issue is earthquake prediction? | {
"tokens": [
"What",
"kind",
"of",
"issue",
"is",
"earthquake",
"prediction",
"?"
],
"offsets": [
0,
5,
10,
13,
19,
22,
33,
43
]
} | {
"text": [
"a global issue"
],
"char_spans": [
{
"start": [
223
],
"end": [
236
]
}
],
"token_spans": [
{
"start": [
36
],
"end": [
38
]
}
]
} | [
"a global issue"
] |
SQuAD | In a press conference held by the State Council Information Office the day after the earthquake, geologist Zhang Xiaodong, deputy director of CEA's Seismic Monitoring Network Center, restated that earthquake prediction was a global issue, in the sense that no proven methods exist, and that no prediction notification wa... | {
"tokens": [
"In",
"a",
"press",
"conference",
"held",
"by",
"the",
"State",
"Council",
"Information",
"Office",
"the",
"day",
"after",
"the",
"earthquake",
",",
"geologist",
"Zhang",
"Xiaodong",
",",
"deputy",
"director",
... | 117c80d9c741484cb4ca670d945d5d03 | What was received before the quake occurred? | {
"tokens": [
"What",
"was",
"received",
"before",
"the",
"quake",
"occurred",
"?"
],
"offsets": [
0,
5,
9,
18,
25,
29,
35,
43
]
} | {
"text": [
"no prediction notification"
],
"char_spans": [
{
"start": [
291
],
"end": [
316
]
}
],
"token_spans": [
{
"start": [
51
],
"end": [
53
]
}
]
} | [
"no prediction notification"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.