File size: 35,405 Bytes
5b84796
9f42c87
 
 
 
 
 
 
 
 
 
 
 
5b84796
9243089
 
 
 
 
 
 
 
 
 
5cf159f
9243089
5cf159f
 
3878380
 
74ccda0
 
 
 
3878380
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e049d0e
3878380
e049d0e
 
8442cfa
 
ba49a11
 
 
 
8442cfa
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7391c95
 
 
 
 
 
 
 
 
 
53b65d1
7391c95
53b65d1
 
7391c95
5b84796
 
 
 
 
 
 
 
 
 
 
 
 
2881830
 
 
 
 
 
 
 
 
 
7187d7a
2881830
7187d7a
 
a88d07a
 
 
 
 
 
 
 
 
 
 
 
 
 
df95193
 
 
 
 
 
 
 
 
 
 
 
 
 
5b84796
9243089
 
 
 
3878380
 
 
 
8442cfa
 
 
 
7391c95
 
 
 
5b84796
 
 
 
2881830
 
 
 
a88d07a
 
 
 
df95193
 
 
 
5b84796
9f42c87
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
---
language:
- en
multilinguality:
- monolingual
size_categories:
- 10M<n<100M
task_categories:
- feature-extraction
- sentence-similarity
pretty_name: MS MARCO with hard negatives from distilbert-margin-mse-mean-dot-v1
tags:
- sentence-transformers
dataset_info:
- config_name: triplet
  features:
  - name: query
    dtype: string
  - name: positive
    dtype: string
  - name: negative
    dtype: string
  splits:
  - name: train
    num_bytes: 362807907
    num_examples: 502939
  download_size: 238014109
  dataset_size: 362807907
- config_name: triplet-50
  features:
  - name: query
    dtype: string
  - name: positive
    dtype: string
  - name: negative_1
    dtype: string
  - name: negative_2
    dtype: string
  - name: negative_3
    dtype: string
  - name: negative_4
    dtype: string
  - name: negative_5
    dtype: string
  - name: negative_6
    dtype: string
  - name: negative_7
    dtype: string
  - name: negative_8
    dtype: string
  - name: negative_9
    dtype: string
  - name: negative_10
    dtype: string
  - name: negative_11
    dtype: string
  - name: negative_12
    dtype: string
  - name: negative_13
    dtype: string
  - name: negative_14
    dtype: string
  - name: negative_15
    dtype: string
  - name: negative_16
    dtype: string
  - name: negative_17
    dtype: string
  - name: negative_18
    dtype: string
  - name: negative_19
    dtype: string
  - name: negative_20
    dtype: string
  - name: negative_21
    dtype: string
  - name: negative_22
    dtype: string
  - name: negative_23
    dtype: string
  - name: negative_24
    dtype: string
  - name: negative_25
    dtype: string
  - name: negative_26
    dtype: string
  - name: negative_27
    dtype: string
  - name: negative_28
    dtype: string
  - name: negative_29
    dtype: string
  - name: negative_30
    dtype: string
  - name: negative_31
    dtype: string
  - name: negative_32
    dtype: string
  - name: negative_33
    dtype: string
  - name: negative_34
    dtype: string
  - name: negative_35
    dtype: string
  - name: negative_36
    dtype: string
  - name: negative_37
    dtype: string
  - name: negative_38
    dtype: string
  - name: negative_39
    dtype: string
  - name: negative_40
    dtype: string
  - name: negative_41
    dtype: string
  - name: negative_42
    dtype: string
  - name: negative_43
    dtype: string
  - name: negative_44
    dtype: string
  - name: negative_45
    dtype: string
  - name: negative_46
    dtype: string
  - name: negative_47
    dtype: string
  - name: negative_48
    dtype: string
  - name: negative_49
    dtype: string
  - name: negative_50
    dtype: string
  splits:
  - name: train
    num_bytes: 9023389446
    num_examples: 502939
  download_size: 5934641076
  dataset_size: 9023389446
- config_name: triplet-50-ids
  features:
  - name: query
    dtype: int64
  - name: positive
    dtype: int64
  - name: negative_1
    dtype: int64
  - name: negative_2
    dtype: int64
  - name: negative_3
    dtype: int64
  - name: negative_4
    dtype: int64
  - name: negative_5
    dtype: int64
  - name: negative_6
    dtype: int64
  - name: negative_7
    dtype: int64
  - name: negative_8
    dtype: int64
  - name: negative_9
    dtype: int64
  - name: negative_10
    dtype: int64
  - name: negative_11
    dtype: int64
  - name: negative_12
    dtype: int64
  - name: negative_13
    dtype: int64
  - name: negative_14
    dtype: int64
  - name: negative_15
    dtype: int64
  - name: negative_16
    dtype: int64
  - name: negative_17
    dtype: int64
  - name: negative_18
    dtype: int64
  - name: negative_19
    dtype: int64
  - name: negative_20
    dtype: int64
  - name: negative_21
    dtype: int64
  - name: negative_22
    dtype: int64
  - name: negative_23
    dtype: int64
  - name: negative_24
    dtype: int64
  - name: negative_25
    dtype: int64
  - name: negative_26
    dtype: int64
  - name: negative_27
    dtype: int64
  - name: negative_28
    dtype: int64
  - name: negative_29
    dtype: int64
  - name: negative_30
    dtype: int64
  - name: negative_31
    dtype: int64
  - name: negative_32
    dtype: int64
  - name: negative_33
    dtype: int64
  - name: negative_34
    dtype: int64
  - name: negative_35
    dtype: int64
  - name: negative_36
    dtype: int64
  - name: negative_37
    dtype: int64
  - name: negative_38
    dtype: int64
  - name: negative_39
    dtype: int64
  - name: negative_40
    dtype: int64
  - name: negative_41
    dtype: int64
  - name: negative_42
    dtype: int64
  - name: negative_43
    dtype: int64
  - name: negative_44
    dtype: int64
  - name: negative_45
    dtype: int64
  - name: negative_46
    dtype: int64
  - name: negative_47
    dtype: int64
  - name: negative_48
    dtype: int64
  - name: negative_49
    dtype: int64
  - name: negative_50
    dtype: int64
  splits:
  - name: train
    num_bytes: 209222624
    num_examples: 502939
  download_size: 178197745
  dataset_size: 209222624
- config_name: triplet-all
  features:
  - name: query
    dtype: string
  - name: positive
    dtype: string
  - name: negative
    dtype: string
  splits:
  - name: train
    num_bytes: 19827208009
    num_examples: 26637550
  download_size: 4369760081
  dataset_size: 19827208009
- config_name: triplet-all-ids
  features:
  - name: query
    dtype: int64
  - name: positive
    dtype: int64
  - name: negative
    dtype: int64
  splits:
  - name: train
    num_bytes: 639301200
    num_examples: 26637550
  download_size: 191165506
  dataset_size: 639301200
- config_name: triplet-hard
  features:
  - name: query
    dtype: string
  - name: positive
    dtype: string
  - name: negative
    dtype: string
  splits:
  - name: train
    num_bytes: 9191448842
    num_examples: 12624894
  download_size: 2395912404
  dataset_size: 9191448842
- config_name: triplet-hard-ids
  features:
  - name: query
    dtype: int64
  - name: positive
    dtype: int64
  - name: negative
    dtype: int64
  splits:
  - name: train
    num_bytes: 302997456
    num_examples: 12624894
  download_size: 97248137
  dataset_size: 302997456
- config_name: triplet-ids
  features:
  - name: query
    dtype: int64
  - name: positive
    dtype: int64
  - name: negative
    dtype: int64
  splits:
  - name: train
    num_bytes: 12070536
    num_examples: 502939
  download_size: 10132134
  dataset_size: 12070536
configs:
- config_name: triplet
  data_files:
  - split: train
    path: triplet/train-*
- config_name: triplet-50
  data_files:
  - split: train
    path: triplet-50/train-*
- config_name: triplet-50-ids
  data_files:
  - split: train
    path: triplet-50-ids/train-*
- config_name: triplet-all
  data_files:
  - split: train
    path: triplet-all/train-*
- config_name: triplet-all-ids
  data_files:
  - split: train
    path: triplet-all-ids/train-*
- config_name: triplet-hard
  data_files:
  - split: train
    path: triplet-hard/train-*
- config_name: triplet-hard-ids
  data_files:
  - split: train
    path: triplet-hard-ids/train-*
- config_name: triplet-ids
  data_files:
  - split: train
    path: triplet-ids/train-*
---

# MS MARCO with hard negatives from distilbert-margin-mse-mean-dot-v1

[MS MARCO](https://microsoft.github.io/msmarco/) is a large scale information retrieval corpus that was created based on real user search queries using the Bing search engine.
For each query and gold positive passage, the 50 most similar paragraphs were mined using 13 different models. The resulting data can be used to train [Sentence Transformer models](https://www.sbert.net).

## Related Datasets

These are the datasets generated using the 13 different models:

* [msmarco-bm25](https://huggingface.co/datasets/sentence-transformers/msmarco-bm25)
* [msmarco-msmarco-distilbert-base-tas-b](https://huggingface.co/datasets/sentence-transformers/msmarco-msmarco-distilbert-base-tas-b)
* [msmarco-msmarco-distilbert-base-v3](https://huggingface.co/datasets/sentence-transformers/msmarco-msmarco-distilbert-base-v3)
* [msmarco-msmarco-MiniLM-L-6-v3](https://huggingface.co/datasets/sentence-transformers/msmarco-msmarco-MiniLM-L-6-v3)
* [msmarco-distilbert-margin-mse-cls-dot-v2](https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-cls-dot-v2)
* [msmarco-distilbert-margin-mse-cls-dot-v1](https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-cls-dot-v1)
* [msmarco-distilbert-margin-mse-mean-dot-v1](https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-mean-dot-v1)
* [msmarco-mpnet-margin-mse-mean-v1](https://huggingface.co/datasets/sentence-transformers/msmarco-mpnet-margin-mse-mean-v1)
* [msmarco-co-condenser-margin-mse-cls-v1](https://huggingface.co/datasets/sentence-transformers/msmarco-co-condenser-margin-mse-cls-v1)
* [msmarco-distilbert-margin-mse-mnrl-mean-v1](https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-mnrl-mean-v1)
* [msmarco-distilbert-margin-mse-sym-mnrl-mean-v1](https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-sym-mnrl-mean-v1)
* [msmarco-distilbert-margin-mse-sym-mnrl-mean-v2](https://huggingface.co/datasets/sentence-transformers/msmarco-distilbert-margin-mse-sym-mnrl-mean-v2)
* [msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1](https://huggingface.co/datasets/sentence-transformers/msmarco-co-condenser-margin-mse-sym-mnrl-mean-v1)

## Dataset Subsets

### Unique Triplets

For each query-positive pair, mine the passage most similar to the query and consider it as a negative.
We release two subsets, one with strings (`triplet`) and one with IDs (`triplet-ids`) to be used with [sentence-transformers/msmarco-corpus](https://huggingface.co/datasets/sentence-transformers/msmarco-corpus).

#### `triplet` subset

* Columns: "query", "positive", "negative"
* Column types: `str`, `str`, `str`
* Examples:
    ```python
    {
      "query": "what are the liberal arts?",
      "positive": 'liberal arts. 1. the academic course of instruction at a college intended to provide general knowledge and comprising the arts, humanities, natural sciences, and social sciences, as opposed to professional or technical subjects.',
      "negative": 'The New York State Education Department requires 60 Liberal Arts credits in a Bachelor of Science program and 90 Liberal Arts credits in a Bachelor of Arts program. In the list of course descriptions, courses which are liberal arts for all students are identified by (Liberal Arts) after the course number.'
    }
    ```
* Deduplified: No

#### `triplet-ids` subset

* Columns: "query", "positive", "negative"
* Column types: `int`, `int`, `int`
* Examples:
    ```python
    {
      "query": 571018,
      "positive": 7349777,
      "negative": 6948601
    }
    ```
* Deduplified: No

### All Triplets

For each query-positive pair, mine the 50 most similar passages to the query and consider them as negatives, resulting in 50 triplets for each query-positive pair.
We release two subsets, one with strings (`triplet-all`) and one with IDs (`triplet-all-ids`) to be used with [sentence-transformers/msmarco-corpus](https://huggingface.co/datasets/sentence-transformers/msmarco-corpus).

#### `triplet-all` subset

* Columns: "query", "positive", "negative"
* Column types: `str`, `str`, `str`
* Examples:
    ```python
    {
      "query": "what are the liberal arts?",
      "positive": 'liberal arts. 1. the academic course of instruction at a college intended to provide general knowledge and comprising the arts, humanities, natural sciences, and social sciences, as opposed to professional or technical subjects.',
      "negative": 'The New York State Education Department requires 60 Liberal Arts credits in a Bachelor of Science program and 90 Liberal Arts credits in a Bachelor of Arts program. In the list of course descriptions, courses which are liberal arts for all students are identified by (Liberal Arts) after the course number.'
    }
    ```
* Deduplified: No

#### `triplet-all-ids` subset

* Columns: "query", "positive", "negative"
* Column types: `int`, `int`, `int`
* Examples:
    ```python
    {
      "query": 571018,
      "positive": 7349777,
      "negative": 6948601
    }
    ```
* Deduplified: No

### Hard Triplets

For each query-positive pair, mine the 50 most similar passages to the query and consider them as negatives.
Filter these 50 negatives such that `similarity(query, positive) > similarity(query, negative) + margin`, with [cross-encoder/ms-marco-MiniLM-L-6-v2](https://huggingface.co/cross-encoder/ms-marco-MiniLM-L-6-v2) and `margin = 3.0`.
In short, we rely on a CrossEncoder to try and make sure that the negatives are indeed dissimilar to the query.
We release two subsets, one with strings (`triplet-hard`) and one with IDs (`triplet-hard-ids`) to be used with [sentence-transformers/msmarco-corpus](https://huggingface.co/datasets/sentence-transformers/msmarco-corpus).

#### `triplet-hard` subset

* Columns: "query", "positive", "negative"
* Column types: `str`, `str`, `str`
* Examples:
    ```python
    {
      "query": "what are the liberal arts?",
      "positive": 'liberal arts. 1. the academic course of instruction at a college intended to provide general knowledge and comprising the arts, humanities, natural sciences, and social sciences, as opposed to professional or technical subjects.',
      "negative": 'The New York State Education Department requires 60 Liberal Arts credits in a Bachelor of Science program and 90 Liberal Arts credits in a Bachelor of Arts program. In the list of course descriptions, courses which are liberal arts for all students are identified by (Liberal Arts) after the course number.'
    }
    ```
* Deduplified: No

#### `triplet-hard-ids` subset

* Columns: "query", "positive", "negative"
* Column types: `int`, `int`, `int`
* Examples:
    ```python
    {
      "query": 571018,
      "positive": 7349777,
      "negative": 6948601
    }
    ```
* Deduplified: No

### 50 "Triplets"

For each query-positive pair, mine the 50 most similar passages to the query and consider them as negatives.
Rather than storing this data as 50 triplets, we store it all as one sample with 50 negative columns.
We release two subsets, one with strings (`triplet-50`) and one with IDs (`triplet-50-ids`) to be used with [sentence-transformers/msmarco-corpus](https://huggingface.co/datasets/sentence-transformers/msmarco-corpus).

#### `triplet-50` subset

* Columns: "query", "positive", 'negative_1', 'negative_2', 'negative_3', 'negative_4', 'negative_5', 'negative_6', 'negative_7', 'negative_8', 'negative_9', 'negative_10', 'negative_11', 'negative_12', 'negative_13', 'negative_14', 'negative_15', 'negative_16', 'negative_17', 'negative_18', 'negative_19', 'negative_20', 'negative_21', 'negative_22', 'negative_23', 'negative_24', 'negative_25', 'negative_26', 'negative_27', 'negative_28', 'negative_29', 'negative_30', 'negative_31', 'negative_32', 'negative_33', 'negative_34', 'negative_35', 'negative_36', 'negative_37', 'negative_38', 'negative_39', 'negative_40', 'negative_41', 'negative_42', 'negative_43', 'negative_44', 'negative_45', 'negative_46', 'negative_47', 'negative_48', 'negative_49', 'negative_50'
* Column types: `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`, `str`
* Examples:
    ```python
    {
      "query": "what are the liberal arts?",
      "positive": "liberal arts. 1. the academic course of instruction at a college intended to provide general knowledge and comprising the arts, humanities, natural sciences, and social sciences, as opposed to professional or technical subjects.",
      "negative_1": "The New York State Education Department requires 60 Liberal Arts credits in a Bachelor of Science program and 90 Liberal Arts credits in a Bachelor of Arts program. In the list of course descriptions, courses which are liberal arts for all students are identified by (Liberal Arts) after the course number.",
      "negative_2": "What Does it Mean to Study Liberal Arts? A liberal arts major offers a broad overview of the arts, sciences, and humanities. Within the context of a liberal arts degree, you can study modern languages, music, English, anthropology, history, women's studies, psychology, math, political science or many other disciplines.",
      "negative_3": "What Is Liberal Studies? Liberal studies, also known as liberal arts, comprises a broad exploration of social sciences, natural sciences, humanities, and the arts. If you are interested in a wide-ranging education in humanities, communication, and thinking, read on to find out about the educational and career possibilities in liberal studies.",
      "negative_4": "You can choose from an array of liberal arts majors. Most of these are offered in the liberal arts departments of colleges that belong to universities and at smaller colleges that are designated as liberal arts institutions.",
      "negative_5": "Majors. You can choose from an array of liberal arts majors. Most of these are offered in the liberal arts departments of colleges that belong to universities and at smaller colleges that are designated as liberal arts institutions.",
      "negative_6": "liberal arts. plural noun. Definition of liberal arts for English Language Learners. : areas of study (such as history, language, and literature) that are intended to give you general knowledge rather than to develop specific skills needed for a profession. Nglish: Translation of liberal arts for Spanish speakers Britannica.com: Encyclopedia article about liberal arts.",
      "negative_7": "Because they award less than 50% of their degrees in engineering, and the rest in liberal arts (sciences). Baccalaureate colleges are a type of Liberal Arts colleges, But offering lesser number of degrees compared to LAC. It's the other way round. A liberal arts college focuses on liberal arts, e.g. sciences, literature, history, sociology, etc. They might offer a few professional degrees (most frequently engineering) as well, but typically the professional majors are well integrated into the liberal arts framework as well.",
      "negative_8": "A liberal arts college is a four-year institution that focuses on the study of liberal arts. Liberal arts colleges are geared more toward the acquisition of knowledge and less toward specific professions. [MORE: The Path to Higher Education] Graduate school.",
      "negative_9": "1 BA = Bachelor of Arts degree BS = Bachelor of Science degree. 2  I think the question requires more of an explanation than what the terms BA and BS translate to. 3  B.A. (Bachelor of Arts) A bachelor of arts (B.A.) degree is what is generally called a liberal arts degree. I think the question requires more of an explanation than what the terms BA and BS translate to. 2  B.A. (Bachelor of Arts) A bachelor of arts (B.A.) degree is what is generally called a liberal arts degree.",
      "negative_10": "West Hills College LemooreAssociate of Arts (A.A.), Liberal Arts and Sciences/Liberal StudiesAssociate of Arts (A.A.), Liberal Arts and Sciences/Liberal Studies. -Student Government President for two years. -Valedictorian. -Alpha Gamma Sigma (Alpha Chi chapter) President/College Relations Liaison.",
      "negative_11": "You can pursue associate degree in academic area such as business administration, law, arts, engineering, paralegal studies, liberal arts, computer science, and more. Q: What are online associate programs?",
      "negative_12": "liberal arts definition The areas of learning that cultivate general intellectual ability rather than technical or professional skills. Liberal arts is often used as a synonym for humanities, because literature, languages, history, and philosophy are often considered the primary subjects of the liberal arts.",
      "negative_13": "liberal arts definition. The areas of learning that cultivate general intellectual ability rather than technical or professional skills. Liberal arts is often used as a synonym for humanities, because literature, languages, history, and philosophy are often considered the primary subjects of the liberal arts.",
      "negative_14": "College Rankings. Best Liberal Arts Colleges-Narrow your search with the U.S. News rankings of Liberal Arts Colleges, schools that emphasize undergrad liberal arts education. More College Rankings & Lists.",
      "negative_15": "Liberal arts college. A liberal arts college is a college with an emphasis on undergraduate study in the liberal arts and sciences. A liberal arts college aims to impart a broad general knowledge and develop general intellectual capacities, in contrast to a professional, vocational, or technical curriculum.",
      "negative_16": "Associate in Liberal Arts Degree. Some subjects that are emphasized in a liberal arts associate's degree program include literature, sciences, history, foreign languages, mathematics and philosophy.",
      "negative_17": "Gonzaga University \u00e2\u0080\u0093 A Catholic Liberal Arts Education. Gonzaga University is a private liberal arts college located in Spokane, Washington. Providing a Catholic liberal arts education, we are dedicated to the Jesuit, Catholic, humanistic ideals of educating the mind, body and spirit to create men and women for others.",
      "negative_18": "Communications majors had average starting salaries of $43,700 last year, a bit higher than liberal arts and sciences/general studies grads. Another major, education, which is also arguably a liberal arts degree, logged an average 2012 starting salary of $40,700, in the mid-range of the liberal arts degrees. Here are NACE\u00e2\u0080\u0099s tallies on 2012 average starting salaries for those with liberal arts degrees, broken out as a table:",
      "negative_19": "In a 3-2 program, you end up with two bachelor's degrees: a liberal arts degree and an engineering degree. Examples of 3-2 programs include Colby College (liberal arts) with Dartmouth College, Mount Holyoke (liberal arts) with Caltech, Reed College (liberal arts) with Columbia, Rensselaer or Caltech.",
      "negative_20": "The two most common types of transfer associate degrees are the Associate of Arts (AA), a liberal arts degree, and the Associate of Science (AS), a liberal arts degree with a greater focus on math and sciences.",
      "negative_21": "Class of 2014 First-Destination Survey: Salaries for Liberal Arts/Humanities Majors Liberal arts/general studies majors earned the top average starting salary among Class of 2014 liberal arts graduates at the bachelor\u00e2\u0080\u0099s degree level, according to NACE\u00e2\u0080\u0099s Spring 2015 Salary Survey report.lass of 2014 First-Destination Survey: Salaries for Liberal Arts/Humanities Majors Liberal arts/general studies majors earned the top average starting salary among Class of 2014 liberal arts graduates at the bachelor\u00e2\u0080\u0099s degree level, according to NACE\u00e2\u0080\u0099s Spring 2015 Salary Survey report.",
      "negative_22": "1 I think the question requires more of an explanation than what the terms BA and BS translate to.  B.A. (Bachelor of Arts) A bachelor of arts (B.A.) degree is what is generally called a liberal arts degree.",
      "negative_23": "What Does LCSW Stand For? / Human and Social... / Liberal Arts and... / Education and Career FAQs",
      "negative_24": "Shale boom: Pipeline welders make $150,000 in Ohio, while liberal arts majors flounder. The economy is tough, especially if you have a liberal arts degree, writes Ohio Treasurer Josh Mandel. While liberal arts majors are forced to take low-paying jobs, pipeline welders are making six figures thanks to the country\u00e2\u0080\u0099s oil and gas boom.",
      "negative_25": "1 I think the question requires more of an explanation than what the terms BA and BS translate to. 2  B.A. (Bachelor of Arts) A bachelor of arts (B.A.) degree is what is generally called a liberal arts degree.",
      "negative_26": "Madison, Wisconsin is known not only as a college town with an incredibly liberal arts scene, it is also a hub of left-wing political ideology. So what are the most liberal, forward-thinking college towns in America?",
      "negative_27": "What is a Bachelor of Arts (B.A.)? A Bachelor of the Arts degree program provides students with a more expansive education, requiring fewer credits that are directly linked to a particular major. Instead, students are expected to earn credits in a variety of liberal arts subjects.",
      "negative_28": "liberal arts definition The areas of learning that cultivate general intellectual ability rather than technical or professional skills. The term liberal arts is often used as a synonym for humanities, although the liberal arts also include the sciences.",
      "negative_29": "liberal arts definition. The areas of learning that cultivate general intellectual ability rather than technical or professional skills. The term liberal arts is often used as a synonym for humanities, although the liberal arts also include the sciences.",
      "negative_30": "Liberal arts college. A liberal arts college is a college with an emphasis on undergraduate study in the liberal arts and sciences. A liberal arts college aims to impart a broad general knowledge and develop general intellectual capacities, in contrast to a professional, vocational, or technical curriculum. Students in a liberal arts college generally major in a particular discipline while receiving exposure to a wide range of academic subjects, including sciences as well as the traditional humanities subjects taught",
      "negative_31": "BA = Bachelor of Arts degree BS = Bachelor of Science degreeI think the question requires more of an explanation than what the terms BA and BS translate to. B.A. (Bachelor of \u00e2\u0080\u00a6 Arts) A bachelor of arts (B.A.) degree is what is generally called a liberal arts degree.",
      "negative_32": "About Liberal Arts and Sciences. Liberal studies in the arts and sciences give you the opportunity to obtain a well-rounded education. These degrees can be used as a springboard to specific graduate studies. There are also a number of individual studies that you might take in concert with a liberal arts or science curriculum.",
      "negative_33": "Liberal Arts Degrees. A liberal arts education is defined as the general knowledge that develops the rational thought and intellectual capabilities of individuals, communities and societies. Primarily, the following subjects fall under the domain of liberal arts studies: Literature. languages. Philosophy.",
      "negative_34": "To this Mannoia warns, \u00e2\u0080\u009cLike faith without works is dead, an education that remains. only theoretical is of little value.\u00e2\u0080\u009d79 Third, the integration of faith and learning, the very motto of our university, is what. thrusts Christian liberal arts education beyond the liberal arts.",
      "negative_35": "The liberal arts education at the secondary school level prepares the student for higher education at a university. They are thus meant for the more academically minded students. In addition to the usual curriculum, students of a liberal arts education often study Latin and Ancient Greek. Some liberal arts education provide general education, others have a specific focus.",
      "negative_36": "Liberal Arts Defined. The liberal arts are a set of academic disciplines that include the sciences and the humanities. When you study a liberal arts curriculum, you don't have to have one specific career goal, although you might. Instead, you'll assemble a broad foundation of knowledge that can be used in a wide spectrum of careers.",
      "negative_37": "What Kind of Classes Are In An AA Degree Program? Similar to a Bachelor of Arts (BA), an Associate of Arts provides students with a foundational education in liberal arts. Studies may include coursework in humanities, social sciences, history, and mathematics, among other subjects.",
      "negative_38": "1 BA = Bachelor of Arts degree BS = Bachelor of Science degree. 2  I think the question requires more of an explanation than what the terms BA and BS translate to.  B.A. (Bachelor of Arts) A bachelor of arts (B.A.) degree is what is generally called a liberal arts degree.",
      "negative_39": "ba bachelor of arts degree bs bachelor of science degreei think the question requires more of an explanation than what the terms ba and bs translate to b a bachelor of arts a bachelor of arts b a degree is what is generally called a liberal arts degree",
      "negative_40": "BA = Bachelor of Arts degree BS = Bachelor of Science degree . I think the question requires more of an explanation than what the terms BA and BS translate to. . B.A. (Bac\u00e2\u0080\u00a6helor of Arts) A bachelor of arts (B.A.) degree is what is generally called a liberal arts degree.",
      "negative_41": "Class of 2014 First-Destination Survey: Salaries for Liberal Arts/Humanities Majors Liberal arts/general studies majors earned the top average starting salary among Class of 2014 liberal arts graduates at the bachelor\u00e2\u0080\u0099s degree level, according to NACE\u00e2\u0080\u0099s Spring 2015 Salary Survey report.lass of 2014: Top-Paid Liberal Arts Majors Majors in foreign languages and literatures were the top-paid among Class of 2014 liberal arts graduates at the bachelor\u00e2\u0080\u0099s degree level, according to results of NACE\u00e2\u0080\u0099s September 2014 Salary Survey.",
      "negative_42": "The University of Puget Sound is a beautiful liberal arts campus where students and faculty engage in intellectual and exciti... What is your overall opinion of this school? The University of Puget Sound is a beautiful liberal arts campus where students and faculty engage in intellectual and exciting discussions.",
      "negative_43": "Baccalaureate degrees: Most degrees awarded from a liberal arts college are four-year bachelor's degrees such as a B.A. (bachelor of arts) or B.S. (bachelor of science). Small size: Nearly all liberal arts colleges have fewer than 5,000 students, and most are in the 1,000 to 2,500 student range.",  
      "negative_44": "1 BA = Bachelor of Arts degree BS = Bachelor of Science degree. 2  I think the question requires more of an explanation than what the terms BA and BS translate to. 3  B.A. (Bachelor of Arts) A bachelor of arts (B.A.) degree is what is generally called a liberal arts degree.",
      "negative_45": "Occidental College is the oldest liberal arts college in Los Angeles and one of the few liberal arts colleges located in a major city. In 2014, U.S. News and World Report ranked Occidental as No. 44 on the list of National Liberal Arts Colleges.",
      "negative_46": "Class of 2014 First-Destination Survey: Salaries for Liberal Arts/Humanities Majors Liberal arts/general studies majors earned the top average starting salary among Class of 2014 liberal arts graduates at the bachelor\u00e2\u0080\u0099s degree level, according to NACE\u00e2\u0080\u0099s Spring 2015 Salary Survey report.",
      "negative_47": "The Trivium are the first three of the seven liberal arts and sciences and the Quadrivium are the remaining four. The three subjects which make up the Trivium are p The Liberal Arts of Logic, Grammar, and Rhetoric by Sister Miriam Joseph.",
      "negative_48": "liberal arts definition. The areas of learning that cultivate general intellectual ability rather than technical or professional skills. The term liberal arts is often used as a synonym for humanities, although the liberal arts also include the sciences. The word liberal comes from the Latin liberalis, meaning suitable for a free man, as opposed to a slave.",
      "negative_49": "An interdisciplinary liberal arts background, spanning both social and biological sciences, is the ideal preparation for the MSW program, but you are encouraged to apply even if your bachelor\u00e2\u0080\u0099s degree was not in the liberal arts.",
      "negative_50": "Confidence votes 5. 1  BA = Bachelor of Arts degree BS = Bachelor of Science degree. 2  I think the question requires more of an explanation than what the terms BA and BS translate to. 3  B.A. (Bachelor of Arts) A bachelor of arts (B.A.) degree is what is generally called a liberal arts degree."    
    }
    ```
* Deduplified: No

#### `triplet-50-ids` subset

* Columns: "query", "positive", 'negative_1', 'negative_2', 'negative_3', 'negative_4', 'negative_5', 'negative_6', 'negative_7', 'negative_8', 'negative_9', 'negative_10', 'negative_11', 'negative_12', 'negative_13', 'negative_14', 'negative_15', 'negative_16', 'negative_17', 'negative_18', 'negative_19', 'negative_20', 'negative_21', 'negative_22', 'negative_23', 'negative_24', 'negative_25', 'negative_26', 'negative_27', 'negative_28', 'negative_29', 'negative_30', 'negative_31', 'negative_32', 'negative_33', 'negative_34', 'negative_35', 'negative_36', 'negative_37', 'negative_38', 'negative_39', 'negative_40', 'negative_41', 'negative_42', 'negative_43', 'negative_44', 'negative_45', 'negative_46', 'negative_47', 'negative_48', 'negative_49', 'negative_50'
* Column types: `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`, `int`
* Examples:
    ```python
    {
      "query": 571018,
      "positive": 7349777,
      "negative_1": 6948601,
      "negative_2": 5129919,
      "negative_3": 6717931,
      "negative_4": 1065943,
      "negative_5": 1626276,
      "negative_6": 981824,
      "negative_7": 6449111,
      "negative_8": 1028927,
      "negative_9": 2524942,
      "negative_10": 5810175,
      "negative_11": 6236527,
      "negative_12": 7179545,
      "negative_13": 168979,
      "negative_14": 150383,
      "negative_15": 168983,
      "negative_16": 7027047,
      "negative_17": 3559703,
      "negative_18": 8768336,
      "negative_19": 5476579,
      "negative_20": 915244,
      "negative_21": 2202253,
      "negative_22": 1743842,
      "negative_23": 7727041,
      "negative_24": 1036624,
      "negative_25": 8432142,
      "negative_26": 2236979,
      "negative_27": 724018,
      "negative_28": 7179544,
      "negative_29": 7349780,
      "negative_30": 7179539,
      "negative_31": 6072080,
      "negative_32": 7790852,
      "negative_33": 4873670,
      "negative_34": 4389296,
      "negative_35": 2305477,
      "negative_36": 1626275,
      "negative_37": 291845,
      "negative_38": 1743847,
      "negative_39": 1508485,
      "negative_40": 4298457,
      "negative_41": 1831337,
      "negative_42": 1760417,
      "negative_43": 8768340,
      "negative_44": 8432143,
      "negative_45": 1971355,
      "negative_46": 1133925,
      "negative_47": 2105819,
      "negative_48": 168975,
      "negative_49": 5132446,
      "negative_50": 1316646,
    }
    ```
* Deduplified: No