Hugging Face's logo

Datasets:
wepolyu
/
KGQA

Modalities:
Text
Formats:
json
Size:
< 1K
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files Community
1
wepolyu commited on
Commit
ceea1e7
·
verified ·
1 Parent(s): 5b66988

Delete results_1.json

Browse files
Files changed (1) hide show
  1. results_1.json +0 -392
results_1.json DELETED
@@ -1,392 +0,0 @@
1
- [
2
- {
3
- "id": "48f41d21-b0fb-45b7-a6e4-96495160f2d7",
4
- "question": "What is the average two years citedness of the writer of Fundamental Analysis of Lateral Displacement Estimation Quality in Ultrasound Elastography?",
5
- "model": "T5",
6
- "technique": "zero_shot",
7
- "results": [
8
- {
9
- "prompt_template": "You are a helpful AI assistant for Hybrid Question Answering over Scholarly Knowledge Graphs and Text\nUse the context provided to directly generate answers to the specified question:\n- Respond solely based on the provided context.\n- Exclude explanations, justifications, or additional commentary in your responses.\n- Address only the main question as presented without seeking or adding extra information.\n- Ensure your answer is concise and contains only the information required to answer the question.\nIf the context does not contain enough information to answer the question, state \"Insufficient context to answer.\"\nQuestion: {question}\nContext: {context}\nAnswer:",
10
- "all_triples_results": {
11
- "response": "3.4050633907318115234.",
12
- "metrics": {
13
- "exact_score": 0,
14
- "meteor": 0
15
- }
16
- },
17
- "verbalizer_results": {
18
- "response": "Insufficient context to answer.",
19
- "metrics": {
20
- "exact_score": 0,
21
- "meteor": 0
22
- }
23
- },
24
- "evidence_matching": {
25
- "response": "3.4050633907318115234.",
26
- "metrics": {
27
- "exact_score": 0,
28
- "meteor": 0
29
- }
30
- },
31
- "verbalizer_plus_evidence_matching": {
32
- "response": "Insufficient context to answer.",
33
- "metrics": {
34
- "exact_score": 0,
35
- "meteor": 0
36
- }
37
- }
38
- }
39
- ]
40
- },
41
- {
42
- "id": "872c3980-13e6-4fac-8fdd-d05ac48fcc57",
43
- "question": "How many articles are attributed to the affiliation in which the creator of Sparse control for high-DOF assistive robots is working?",
44
- "model": "T5",
45
- "technique": "zero_shot",
46
- "results": [
47
- {
48
- "prompt_template": "You are a helpful AI assistant for Hybrid Question Answering over Scholarly Knowledge Graphs and Text\nUse the context provided to directly generate answers to the specified question:\n- Respond solely based on the provided context.\n- Exclude explanations, justifications, or additional commentary in your responses.\n- Address only the main question as presented without seeking or adding extra information.\n- Ensure your answer is concise and contains only the information required to answer the question.\nIf the context does not contain enough information to answer the question, state \"Insufficient context to answer.\"\nQuestion: {question}\nContext: {context}\nAnswer:",
49
- "all_triples_results": {
50
- "response": "Insufficient context to answer.",
51
- "metrics": {
52
- "exact_score": 0,
53
- "meteor": 0
54
- }
55
- },
56
- "verbalizer_results": {
57
- "response": "Insufficient context to answer.",
58
- "metrics": {
59
- "exact_score": 0,
60
- "meteor": 0
61
- }
62
- },
63
- "evidence_matching": {
64
- "response": "Insufficient context to answer.",
65
- "metrics": {
66
- "exact_score": 0,
67
- "meteor": 0
68
- }
69
- },
70
- "verbalizer_plus_evidence_matching": {
71
- "response": "Insufficient context to answer.",
72
- "metrics": {
73
- "exact_score": 0,
74
- "meteor": 0
75
- }
76
- }
77
- }
78
- ]
79
- },
80
- {
81
- "id": "2eaa8047-4041-4922-b7b6-cf60a3605134",
82
- "question": "What is the number of publications for the affiliation of the 'Considerate Reasoning and the Composite Design Pattern' author?",
83
- "model": "T5",
84
- "technique": "zero_shot",
85
- "results": [
86
- {
87
- "prompt_template": "You are a helpful AI assistant for Hybrid Question Answering over Scholarly Knowledge Graphs and Text\nUse the context provided to directly generate answers to the specified question:\n- Respond solely based on the provided context.\n- Exclude explanations, justifications, or additional commentary in your responses.\n- Address only the main question as presented without seeking or adding extra information.\n- Ensure your answer is concise and contains only the information required to answer the question.\nIf the context does not contain enough information to answer the question, state \"Insufficient context to answer.\"\nQuestion: {question}\nContext: {context}\nAnswer:",
88
- "all_triples_results": {
89
- "response": "Insufficient context to answer.",
90
- "metrics": {
91
- "exact_score": 0,
92
- "meteor": 0
93
- }
94
- },
95
- "verbalizer_results": {
96
- "response": "Insufficient context to answer.",
97
- "metrics": {
98
- "exact_score": 0,
99
- "meteor": 0
100
- }
101
- },
102
- "evidence_matching": {
103
- "response": "Insufficient context to answer.",
104
- "metrics": {
105
- "exact_score": 0,
106
- "meteor": 0
107
- }
108
- },
109
- "verbalizer_plus_evidence_matching": {
110
- "response": "Insufficient context to answer.",
111
- "metrics": {
112
- "exact_score": 0,
113
- "meteor": 0
114
- }
115
- }
116
- }
117
- ]
118
- },
119
- {
120
- "id": "0cff0025-0a0d-4933-8ffb-4b4f26662cbd",
121
- "question": "How many articles are cited by the institution where the author of Emerging issues works?",
122
- "model": "T5",
123
- "technique": "zero_shot",
124
- "results": [
125
- {
126
- "prompt_template": "You are a helpful AI assistant for Hybrid Question Answering over Scholarly Knowledge Graphs and Text\nUse the context provided to directly generate answers to the specified question:\n- Respond solely based on the provided context.\n- Exclude explanations, justifications, or additional commentary in your responses.\n- Address only the main question as presented without seeking or adding extra information.\n- Ensure your answer is concise and contains only the information required to answer the question.\nIf the context does not contain enough information to answer the question, state \"Insufficient context to answer.\"\nQuestion: {question}\nContext: {context}\nAnswer:",
127
- "all_triples_results": {
128
- "response": "Insufficient context to answer.",
129
- "metrics": {
130
- "exact_score": 0,
131
- "meteor": 0
132
- }
133
- },
134
- "verbalizer_results": {
135
- "response": "Insufficient context to answer.",
136
- "metrics": {
137
- "exact_score": 0,
138
- "meteor": 0
139
- }
140
- },
141
- "evidence_matching": {
142
- "response": "Insufficient context to answer.",
143
- "metrics": {
144
- "exact_score": 0,
145
- "meteor": 0
146
- }
147
- },
148
- "verbalizer_plus_evidence_matching": {
149
- "response": "Insufficient context to answer.",
150
- "metrics": {
151
- "exact_score": 0,
152
- "meteor": 0
153
- }
154
- }
155
- }
156
- ]
157
- },
158
- {
159
- "id": "291fed13-1918-413b-8304-90450e976716",
160
- "question": "What is the type of organization where the author who published 'Modulation and Information Hiding in Images' works?",
161
- "model": "T5",
162
- "technique": "zero_shot",
163
- "results": [
164
- {
165
- "prompt_template": "You are a helpful AI assistant for Hybrid Question Answering over Scholarly Knowledge Graphs and Text\nUse the context provided to directly generate answers to the specified question:\n- Respond solely based on the provided context.\n- Exclude explanations, justifications, or additional commentary in your responses.\n- Address only the main question as presented without seeking or adding extra information.\n- Ensure your answer is concise and contains only the information required to answer the question.\nIf the context does not contain enough information to answer the question, state \"Insufficient context to answer.\"\nQuestion: {question}\nContext: {context}\nAnswer:",
166
- "all_triples_results": {
167
- "response": "University of Washington.",
168
- "metrics": {
169
- "exact_score": 0,
170
- "meteor": 0
171
- }
172
- },
173
- "verbalizer_results": {
174
- "response": "University",
175
- "metrics": {
176
- "exact_score": 0,
177
- "meteor": 0
178
- }
179
- },
180
- "evidence_matching": {
181
- "response": "Institute of Electrical and Electronics Engineers",
182
- "metrics": {
183
- "exact_score": 0,
184
- "meteor": 0
185
- }
186
- },
187
- "verbalizer_plus_evidence_matching": {
188
- "response": "Institute of Electrical and Electronics Engineers",
189
- "metrics": {
190
- "exact_score": 0,
191
- "meteor": 0
192
- }
193
- }
194
- }
195
- ]
196
- },
197
- {
198
- "id": "8b33820c-c1d5-42e3-a4ec-8c60cb3d30c9",
199
- "question": "How many papers does the academic institution of the researcher who authored 'Presenting Dynamic Information on Mobile Computers' have?",
200
- "model": "T5",
201
- "technique": "zero_shot",
202
- "results": [
203
- {
204
- "prompt_template": "You are a helpful AI assistant for Hybrid Question Answering over Scholarly Knowledge Graphs and Text\nUse the context provided to directly generate answers to the specified question:\n- Respond solely based on the provided context.\n- Exclude explanations, justifications, or additional commentary in your responses.\n- Address only the main question as presented without seeking or adding extra information.\n- Ensure your answer is concise and contains only the information required to answer the question.\nIf the context does not contain enough information to answer the question, state \"Insufficient context to answer.\"\nQuestion: {question}\nContext: {context}\nAnswer:",
205
- "all_triples_results": {
206
- "response": "Insufficient context to answer.",
207
- "metrics": {
208
- "exact_score": 0,
209
- "meteor": 0
210
- }
211
- },
212
- "verbalizer_results": {
213
- "response": "Insufficient context to answer.",
214
- "metrics": {
215
- "exact_score": 0,
216
- "meteor": 0
217
- }
218
- },
219
- "evidence_matching": {
220
- "response": "Insufficient context to answer.",
221
- "metrics": {
222
- "exact_score": 0,
223
- "meteor": 0
224
- }
225
- },
226
- "verbalizer_plus_evidence_matching": {
227
- "response": "Insufficient context to answer.",
228
- "metrics": {
229
- "exact_score": 0,
230
- "meteor": 0
231
- }
232
- }
233
- }
234
- ]
235
- },
236
- {
237
- "id": "7381366d-839f-4623-8543-f0b6ebf4a90d",
238
- "question": "What is the average two years citedness of the writer of An auction-based method for decentralized train scheduling?",
239
- "model": "T5",
240
- "technique": "zero_shot",
241
- "results": [
242
- {
243
- "prompt_template": "You are a helpful AI assistant for Hybrid Question Answering over Scholarly Knowledge Graphs and Text\nUse the context provided to directly generate answers to the specified question:\n- Respond solely based on the provided context.\n- Exclude explanations, justifications, or additional commentary in your responses.\n- Address only the main question as presented without seeking or adding extra information.\n- Ensure your answer is concise and contains only the information required to answer the question.\nIf the context does not contain enough information to answer the question, state \"Insufficient context to answer.\"\nQuestion: {question}\nContext: {context}\nAnswer:",
244
- "all_triples_results": {
245
- "response": "Insufficient context to answer.",
246
- "metrics": {
247
- "exact_score": 0,
248
- "meteor": 0
249
- }
250
- },
251
- "verbalizer_results": {
252
- "response": "Insufficient context to answer.",
253
- "metrics": {
254
- "exact_score": 0,
255
- "meteor": 0
256
- }
257
- },
258
- "evidence_matching": {
259
- "response": "Insufficient context to answer.",
260
- "metrics": {
261
- "exact_score": 0,
262
- "meteor": 0
263
- }
264
- },
265
- "verbalizer_plus_evidence_matching": {
266
- "response": "Insufficient context to answer.",
267
- "metrics": {
268
- "exact_score": 0,
269
- "meteor": 0
270
- }
271
- }
272
- }
273
- ]
274
- },
275
- {
276
- "id": "2206c90c-b226-4881-ac20-dffe9c0a2726",
277
- "question": "What is the i10Index of the author affiliated with the University of Warsaw, Institute of Informatics and creator of 'Awareness as a vital ingredient of teamwork'?",
278
- "model": "T5",
279
- "technique": "zero_shot",
280
- "results": [
281
- {
282
- "prompt_template": "You are a helpful AI assistant for Hybrid Question Answering over Scholarly Knowledge Graphs and Text\nUse the context provided to directly generate answers to the specified question:\n- Respond solely based on the provided context.\n- Exclude explanations, justifications, or additional commentary in your responses.\n- Address only the main question as presented without seeking or adding extra information.\n- Ensure your answer is concise and contains only the information required to answer the question.\nIf the context does not contain enough information to answer the question, state \"Insufficient context to answer.\"\nQuestion: {question}\nContext: {context}\nAnswer:",
283
- "all_triples_results": {
284
- "response": "39.",
285
- "metrics": {
286
- "exact_score": 0,
287
- "meteor": 0
288
- }
289
- },
290
- "verbalizer_results": {
291
- "response": "Insufficient context to answer.",
292
- "metrics": {
293
- "exact_score": 0,
294
- "meteor": 0
295
- }
296
- },
297
- "evidence_matching": {
298
- "response": "39.",
299
- "metrics": {
300
- "exact_score": 0,
301
- "meteor": 0
302
- }
303
- },
304
- "verbalizer_plus_evidence_matching": {
305
- "response": "Insufficient context to answer",
306
- "metrics": {
307
- "exact_score": 0,
308
- "meteor": 0
309
- }
310
- }
311
- }
312
- ]
313
- },
314
- {
315
- "id": "d80c1450-25be-420a-9607-8019fb9cea1d",
316
- "question": "What is the number of publications for the affiliation of the writer of the paper ISAR image analysis and recovery with unavailable or heavily corrupted data?",
317
- "model": "T5",
318
- "technique": "zero_shot",
319
- "results": [
320
- {
321
- "prompt_template": "You are a helpful AI assistant for Hybrid Question Answering over Scholarly Knowledge Graphs and Text\nUse the context provided to directly generate answers to the specified question:\n- Respond solely based on the provided context.\n- Exclude explanations, justifications, or additional commentary in your responses.\n- Address only the main question as presented without seeking or adding extra information.\n- Ensure your answer is concise and contains only the information required to answer the question.\nIf the context does not contain enough information to answer the question, state \"Insufficient context to answer.\"\nQuestion: {question}\nContext: {context}\nAnswer:",
322
- "all_triples_results": {
323
- "response": "Insufficient context to answer.",
324
- "metrics": {
325
- "exact_score": 0,
326
- "meteor": 0
327
- }
328
- },
329
- "verbalizer_results": {
330
- "response": "Insufficient context to answer.",
331
- "metrics": {
332
- "exact_score": 0,
333
- "meteor": 0
334
- }
335
- },
336
- "evidence_matching": {
337
- "response": "Insufficient context to answer.",
338
- "metrics": {
339
- "exact_score": 0,
340
- "meteor": 0
341
- }
342
- },
343
- "verbalizer_plus_evidence_matching": {
344
- "response": "Insufficient context to answer.",
345
- "metrics": {
346
- "exact_score": 0,
347
- "meteor": 0
348
- }
349
- }
350
- }
351
- ]
352
- },
353
- {
354
- "id": "cdf5b328-938d-4554-8daf-94e3aff2830c",
355
- "question": "What is the hIndex of the author of Energy-aware adaptation for mobile applications?",
356
- "model": "T5",
357
- "technique": "zero_shot",
358
- "results": [
359
- {
360
- "prompt_template": "You are a helpful AI assistant for Hybrid Question Answering over Scholarly Knowledge Graphs and Text\nUse the context provided to directly generate answers to the specified question:\n- Respond solely based on the provided context.\n- Exclude explanations, justifications, or additional commentary in your responses.\n- Address only the main question as presented without seeking or adding extra information.\n- Ensure your answer is concise and contains only the information required to answer the question.\nIf the context does not contain enough information to answer the question, state \"Insufficient context to answer.\"\nQuestion: {question}\nContext: {context}\nAnswer:",
361
- "all_triples_results": {
362
- "response": "67.",
363
- "metrics": {
364
- "exact_score": 0,
365
- "meteor": 0
366
- }
367
- },
368
- "verbalizer_results": {
369
- "response": "Mahadev \"Satya\" Satyanarayanan",
370
- "metrics": {
371
- "exact_score": 0,
372
- "meteor": 0
373
- }
374
- },
375
- "evidence_matching": {
376
- "response": "Mahadev Satyanarayanan.",
377
- "metrics": {
378
- "exact_score": 0,
379
- "meteor": 0
380
- }
381
- },
382
- "verbalizer_plus_evidence_matching": {
383
- "response": "Insufficient context to answer.",
384
- "metrics": {
385
- "exact_score": 0,
386
- "meteor": 0
387
- }
388
- }
389
- }
390
- ]
391
- }
392
- ]