Hugging Face's logo

Datasets:
shrenikb
/
specrouter-artifacts

Tasks:
Text Generation
Feature Extraction
Tags:
speculative-decoding
routing
reproducibility
License:
Dataset card Data Studio Files
xet
 Community
Dataset Preview
Duplicate
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
gpu: string
command: list<item: string>
  child 0, item: string
request_id: string
row: int64
context_length: int64
split: string
decision: int64
to
{'context_length': Value('int64'), 'decision': Value('int64'), 'request_id': Value('string'), 'row': Value('int64'), 'split': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              gpu: string
              command: list<item: string>
                child 0, item: string
              request_id: string
              row: int64
              context_length: int64
              split: string
              decision: int64
              to
              {'context_length': Value('int64'), 'decision': Value('int64'), 'request_id': Value('string'), 'row': Value('int64'), 'split': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

context_length
int64
decision
int64
request_id
string
row
int64
split
string
196
0
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
0
train
197
1
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
1
train
198
2
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
2
train
199
3
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
3
train
200
4
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
4
train
201
5
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
5
train
202
6
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
6
train
203
7
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
7
train
204
8
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
8
train
205
9
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
9
train
206
10
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
10
train
207
11
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
11
train
208
12
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
12
train
209
13
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
13
train
210
14
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
14
train
211
15
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
15
train
212
16
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
16
train
213
17
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
17
train
214
18
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
18
train
215
19
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
19
train
216
20
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
20
train
217
21
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
21
train
218
22
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
22
train
219
23
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
23
train
220
24
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
24
train
221
25
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
25
train
222
26
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
26
train
223
27
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
27
train
224
28
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
28
train
225
29
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
29
train
226
30
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
30
train
227
31
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
31
train
228
32
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
32
train
229
33
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
33
train
230
34
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
34
train
231
35
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
35
train
232
36
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
36
train
233
37
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
37
train
234
38
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
38
train
235
39
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
39
train
236
40
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
40
train
237
41
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
41
train
238
42
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
42
train
239
43
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
43
train
240
44
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
44
train
241
45
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
45
train
242
46
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
46
train
243
47
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
47
train
244
48
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
48
train
245
49
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
49
train
246
50
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
50
train
247
51
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
51
train
248
52
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
52
train
249
53
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
53
train
250
54
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
54
train
251
55
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
55
train
252
56
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
56
train
253
57
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
57
train
254
58
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
58
train
255
59
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
59
train
256
60
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
60
train
257
61
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
61
train
258
62
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
62
train
259
63
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
63
train
260
64
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
64
train
261
65
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
65
train
262
66
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
66
train
263
67
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
67
train
264
68
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
68
train
265
69
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
69
train
266
70
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
70
train
267
71
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
71
train
268
72
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
72
train
269
73
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
73
train
270
74
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
74
train
271
75
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
75
train
272
76
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
76
train
273
77
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
77
train
274
78
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
78
train
275
79
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
79
train
276
80
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
80
train
277
81
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
81
train
278
82
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
82
train
279
83
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
83
train
280
84
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
84
train
281
85
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
85
train
282
86
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
86
train
283
87
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
87
train
284
88
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
88
train
285
89
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
89
train
286
90
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
90
train
287
91
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
91
train
288
92
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
92
train
289
93
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
93
train
290
94
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
94
train
291
95
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
95
train
292
96
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
96
train
293
97
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
97
train
294
98
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
98
train
295
99
whiflash-dolci-0000:whiflash-dolci-allenai/tulu_v3.9_table_gpt_5k_tmp_ids_435
99
train
End of preview.

SpecRouter Generated Artifacts

Public reproducibility snapshot for shrenikbhansali/SpecRouter.

The snapshot contains 13,375 indexed files totaling 95.95 GiB:

Group Files Size
a40-source-data 301 2.40 GiB
campaign-results 10,968 9.32 GiB
cross-domain-results 287 5.91 GiB
current-accuracy 211 66.71 GiB
drafter-pool-results 1,062 4.27 GiB
local-models 23 6.38 GiB
native-runtime 523 0.96 GiB

REMOTE_ARTIFACT_INDEX.json is the authoritative manifest. It records every repository-relative destination, file size, SHA-256 digest, and artifact group. Restore through the scripts in the GitHub repository rather than copying paths manually.

Remote availability does not imply scientific validity. Consult MASTER_RESULTS.md in the GitHub repository before using any result in an analysis or claim.
Downloads last month
359
Total file size:
103 GB