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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
step: int64
layer: int64
tokens: int64
fvu: double
dead: double
p: double
stoch: double
ci_masked: double
kl_ci: double
ce_ci: double
ce_unrecovered: double
explained_variance: struct<0: double, 1: double, 2: double, 3: double, 4: double, 5: double, 6: double, 7: double, 8: do (... 40 chars omitted)
child 0, 0: double
child 1, 1: double
child 2, 2: double
child 3, 3: double
child 4, 4: double
child 5, 5: double
child 6, 6: double
child 7, 7: double
child 8, 8: double
child 9, 9: double
child 10, 10: double
child 11, 11: double
imp: double
seconds: double
l0: struct<0: double, 1: double, 2: double, 3: double, 4: double, 5: double, 6: double, 7: double, 8: do (... 40 chars omitted)
child 0, 0: double
child 1, 1: double
child 2, 2: double
child 3, 3: double
child 4, 4: double
child 5, 5: double
child 6, 6: double
child 7, 7: double
child 8, 8: double
child 9, 9: double
child 10, 10: double
child 11, 11: double
layerwise: double
faith: double
ci_output: double
ce_target: double
to
{'step': Value('int64'), 'faith': Value('float64'), 'imp': Value('float64'), 'stoch': Value('float64'), 'layerwise': Value('float64'), 'ci_masked': Value('float64'), 'ci_output': Value('float64'), 'p': Value('float64'), 'seconds': Value('float64'), 'kl_ci': Value('float64'), 'ce_target': Value('float64'), 'ce_ci': Value('float64'), 'ce_unrecovered': Value('float64'), 'explained_variance': {'0': Value('float64'), '1': Value('float64'), '2': Value('float64'), '3': Value('float64'), '4': Value('float64'), '5': Value('float64'), '6': Value('float64'), '7': Value('float64'), '8': Value('float64'), '9': Value('float64'), '10': Value('float64'), '11': Value('float64')}, 'l0': {'0': Value('float64'), '1': Value('float64'), '2': Value('float64'), '3': Value('float64'), '4': Value('float64'), '5': Value('float64'), '6': Value('float64'), '7': Value('float64'), '8': Value('float64'), '9': Value('float64'), '10': Value('float64'), '11': Value('float64')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1835, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
step: int64
layer: int64
tokens: int64
fvu: double
dead: double
p: double
stoch: double
ci_masked: double
kl_ci: double
ce_ci: double
ce_unrecovered: double
explained_variance: struct<0: double, 1: double, 2: double, 3: double, 4: double, 5: double, 6: double, 7: double, 8: do (... 40 chars omitted)
child 0, 0: double
child 1, 1: double
child 2, 2: double
child 3, 3: double
child 4, 4: double
child 5, 5: double
child 6, 6: double
child 7, 7: double
child 8, 8: double
child 9, 9: double
child 10, 10: double
child 11, 11: double
imp: double
seconds: double
l0: struct<0: double, 1: double, 2: double, 3: double, 4: double, 5: double, 6: double, 7: double, 8: do (... 40 chars omitted)
child 0, 0: double
child 1, 1: double
child 2, 2: double
child 3, 3: double
child 4, 4: double
child 5, 5: double
child 6, 6: double
child 7, 7: double
child 8, 8: double
child 9, 9: double
child 10, 10: double
child 11, 11: double
layerwise: double
faith: double
ci_output: double
ce_target: double
to
{'step': Value('int64'), 'faith': Value('float64'), 'imp': Value('float64'), 'stoch': Value('float64'), 'layerwise': Value('float64'), 'ci_masked': Value('float64'), 'ci_output': Value('float64'), 'p': Value('float64'), 'seconds': Value('float64'), 'kl_ci': Value('float64'), 'ce_target': Value('float64'), 'ce_ci': Value('float64'), 'ce_unrecovered': Value('float64'), 'explained_variance': {'0': Value('float64'), '1': Value('float64'), '2': Value('float64'), '3': Value('float64'), '4': Value('float64'), '5': Value('float64'), '6': Value('float64'), '7': Value('float64'), '8': Value('float64'), '9': Value('float64'), '10': Value('float64'), '11': Value('float64')}, 'l0': {'0': Value('float64'), '1': Value('float64'), '2': Value('float64'), '3': Value('float64'), '4': Value('float64'), '5': Value('float64'), '6': Value('float64'), '7': Value('float64'), '8': Value('float64'), '9': Value('float64'), '10': Value('float64'), '11': Value('float64')}}
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 1379, 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 956, 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 1702, 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 1887, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
step int64 | faith float64 | imp float64 | stoch float64 | layerwise float64 | ci_masked float64 | ci_output float64 | p float64 | seconds float64 | kl_ci float64 | ce_target float64 | ce_ci float64 | ce_unrecovered float64 | explained_variance dict | l0 dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 0 | 28,173.884766 | 0.535722 | 0.014763 | 3.523498 | 0.614659 | 2 | 1.8 | 2.96087 | 3.3077 | 6.2239 | 0.6151 | {
"0": 0.3922,
"1": 0.3662,
"2": 0.3712,
"3": 0.3864,
"4": 0.3904,
"5": 0.3974,
"6": 0.3937,
"7": 0.406,
"8": 0.4004,
"9": 0.4089,
"10": 0.4088,
"11": 0.4605
} | {
"0": 1567,
"1": 1559.6,
"2": 1545.4,
"3": 1565,
"4": 1565.2,
"5": 1571.5,
"6": 1563.1,
"7": 1594.6,
"8": 1564.9,
"9": 1568.3,
"10": 1567.6,
"11": 1548.9
} |
1 | 0.000002 | 29,025.160156 | 0.418938 | 0.022533 | 2.920025 | 0.599021 | 1.999467 | 5.5 | null | null | null | null | null | null |
2 | 0.000002 | 31,174.595703 | 0.29727 | 0.025686 | 2.417194 | 0.580588 | 1.998933 | 7.2 | null | null | null | null | null | null |
3 | 0.000001 | 32,777.246094 | 0.299877 | 0.011414 | 2.46706 | 0.566877 | 1.9984 | 9 | null | null | null | null | null | null |
4 | 0.000001 | 30,183.847656 | 0.3704 | 0.0145 | 2.223257 | 0.588612 | 1.997867 | 10.7 | null | null | null | null | null | null |
5 | 0.000001 | 32,479.273438 | 0.232089 | 0.009452 | 2.14725 | 0.563807 | 1.997333 | 12.4 | null | null | null | null | null | null |
6 | 0.000001 | 34,868.289063 | 0.253454 | 0.011081 | 1.949764 | 0.544126 | 1.9968 | 14.1 | null | null | null | null | null | null |
7 | 0.000001 | 34,919.664063 | 0.221843 | 0.009357 | 1.733783 | 0.536866 | 1.996267 | 15.8 | null | null | null | null | null | null |
8 | 0 | 37,534.128906 | 0.178767 | 0.011852 | 1.857734 | 0.519863 | 1.995733 | 17.6 | null | null | null | null | null | null |
9 | 0 | 39,309.734375 | 0.167444 | 0.007804 | 1.557907 | 0.509753 | 1.9952 | 19.3 | null | null | null | null | null | null |
10 | 0 | 39,162.429688 | 0.181062 | 0.008705 | 1.382813 | 0.493622 | 1.994667 | 21 | null | null | null | null | null | null |
11 | 0 | 41,004.046875 | 0.266921 | 0.010168 | 1.343709 | 0.485133 | 1.994133 | 22.7 | null | null | null | null | null | null |
12 | 0 | 41,810.566406 | 0.184459 | 0.008826 | 1.068405 | 0.468996 | 1.9936 | 24.4 | null | null | null | null | null | null |
13 | 0 | 44,956.371094 | 0.206991 | 0.009953 | 1.298113 | 0.477864 | 1.993067 | 26.1 | null | null | null | null | null | null |
14 | 0 | 48,304.585938 | 0.177177 | 0.007844 | 1.221703 | 0.446297 | 1.992533 | 27.8 | null | null | null | null | null | null |
15 | 0 | 43,131.085938 | 0.18289 | 0.00958 | 1.099115 | 0.48435 | 1.992 | 29.5 | null | null | null | null | null | null |
16 | 0 | 47,157.179688 | 0.14931 | 0.008331 | 0.889046 | 0.438642 | 1.991467 | 31.2 | null | null | null | null | null | null |
17 | 0 | 49,650.976563 | 0.151618 | 0.008496 | 0.823743 | 0.433194 | 1.990933 | 32.9 | null | null | null | null | null | null |
18 | 0 | 48,327.136719 | 0.125445 | 0.0063 | 0.64132 | 0.41513 | 1.9904 | 34.6 | null | null | null | null | null | null |
19 | 0 | 52,929.675781 | 0.137414 | 0.010392 | 0.835129 | 0.417142 | 1.989867 | 36.3 | null | null | null | null | null | null |
20 | 0 | 53,313.207031 | 0.14783 | 0.022675 | 0.736793 | 0.396509 | 1.989333 | 37.9 | null | null | null | null | null | null |
21 | 0 | 52,301.179688 | 0.10123 | 0.006736 | 0.557368 | 0.398455 | 1.9888 | 39.6 | null | null | null | null | null | null |
22 | 0 | 55,583.4375 | 0.104279 | 0.007388 | 0.608812 | 0.400595 | 1.988267 | 41.3 | null | null | null | null | null | null |
23 | 0 | 52,943.644531 | 0.094709 | 0.005977 | 0.514645 | 0.380307 | 1.987733 | 43 | null | null | null | null | null | null |
24 | 0 | 52,896.417969 | 0.162222 | 0.021774 | 0.607457 | 0.392713 | 1.9872 | 44.7 | null | null | null | null | null | null |
25 | 0 | 56,574.125 | 0.11405 | 0.006625 | 0.542737 | 0.383321 | 1.986667 | 46.3 | null | null | null | null | null | null |
26 | 0 | 57,048.550781 | 0.094373 | 0.018135 | 0.444163 | 0.365566 | 1.986133 | 48 | null | null | null | null | null | null |
27 | 0 | 60,724.445313 | 0.101218 | 0.010972 | 0.538056 | 0.348837 | 1.9856 | 49.7 | null | null | null | null | null | null |
28 | 0 | 57,657.847656 | 0.104162 | 0.007233 | 0.467882 | 0.370381 | 1.985067 | 51.4 | null | null | null | null | null | null |
29 | 0 | 62,014.246094 | 0.100102 | 0.006022 | 0.505754 | 0.35218 | 1.984533 | 53.1 | null | null | null | null | null | null |
30 | 0 | 60,175.023438 | 0.090004 | 0.005759 | 0.449884 | 0.371587 | 1.984 | 54.7 | null | null | null | null | null | null |
31 | 0 | 63,438.800781 | 0.092117 | 0.012306 | 0.410381 | 0.350889 | 1.983467 | 56.4 | null | null | null | null | null | null |
32 | 0 | 61,049.660156 | 0.082517 | 0.005057 | 0.394134 | 0.342517 | 1.982933 | 58.1 | null | null | null | null | null | null |
33 | 0 | 63,340.335938 | 0.117137 | 0.007678 | 0.469944 | 0.325015 | 1.9824 | 59.8 | null | null | null | null | null | null |
34 | 0 | 61,757.34375 | 0.083476 | 0.009531 | 0.37511 | 0.322286 | 1.981867 | 61.5 | null | null | null | null | null | null |
35 | 0 | 60,577.695313 | 0.080784 | 0.005534 | 0.382148 | 0.320208 | 1.981333 | 63.2 | null | null | null | null | null | null |
36 | 0 | 66,239.25 | 0.077451 | 0.00529 | 0.366388 | 0.332179 | 1.9808 | 64.9 | null | null | null | null | null | null |
37 | 0 | 67,817.125 | 0.087191 | 0.008578 | 0.40525 | 0.322029 | 1.980267 | 66.5 | null | null | null | null | null | null |
38 | 0 | 66,768.15625 | 0.081531 | 0.007529 | 0.380784 | 0.320502 | 1.979733 | 68.2 | null | null | null | null | null | null |
39 | 0 | 68,241.5 | 0.076088 | 0.005712 | 0.348557 | 0.314504 | 1.9792 | 69.9 | null | null | null | null | null | null |
40 | 0 | 62,187.128906 | 0.069552 | 0.005186 | 0.297679 | 0.299617 | 1.978667 | 71.6 | null | null | null | null | null | null |
41 | 0 | 61,043.050781 | 0.064158 | 0.004468 | 0.285717 | 0.30396 | 1.978133 | 73.3 | null | null | null | null | null | null |
42 | 0 | 65,532.167969 | 0.083442 | 0.007735 | 0.341029 | 0.319164 | 1.9776 | 75 | null | null | null | null | null | null |
43 | 0 | 68,984.09375 | 0.088005 | 0.016044 | 0.419187 | 0.308491 | 1.977067 | 76.8 | null | null | null | null | null | null |
44 | 0 | 65,023.210938 | 0.07648 | 0.005305 | 0.353162 | 0.334447 | 1.976533 | 78.5 | null | null | null | null | null | null |
45 | 0 | 68,161.078125 | 0.08489 | 0.006231 | 0.365814 | 0.309894 | 1.976 | 80.2 | null | null | null | null | null | null |
46 | 0 | 66,352.820313 | 0.076348 | 0.005096 | 0.324189 | 0.312131 | 1.975467 | 82 | null | null | null | null | null | null |
47 | 0 | 64,023.261719 | 0.080198 | 0.007171 | 0.349275 | 0.323895 | 1.974933 | 83.7 | null | null | null | null | null | null |
48 | 0 | 64,021.265625 | 0.07874 | 0.00495 | 0.33773 | 0.307201 | 1.9744 | 85.4 | null | null | null | null | null | null |
49 | 0 | 64,669.511719 | 0.07965 | 0.005348 | 0.301877 | 0.299624 | 1.973867 | 87.2 | null | null | null | null | null | null |
50 | 0 | 62,696.507813 | 0.079349 | 0.005299 | 0.343709 | 0.305227 | 1.973333 | 88.9 | null | null | null | null | null | null |
51 | 0 | 64,182.25 | 0.071245 | 0.006215 | 0.337288 | 0.280861 | 1.9728 | 90.6 | null | null | null | null | null | null |
52 | 0 | 66,507.070313 | 0.084178 | 0.005969 | 0.368626 | 0.30052 | 1.972267 | 92.3 | null | null | null | null | null | null |
53 | 0 | 66,157.429688 | 0.07095 | 0.006415 | 0.32892 | 0.312902 | 1.971733 | 94 | null | null | null | null | null | null |
54 | 0 | 66,868.09375 | 0.077915 | 0.006632 | 0.329975 | 0.323474 | 1.9712 | 95.8 | null | null | null | null | null | null |
55 | 0 | 64,596.695313 | 0.063534 | 0.004964 | 0.270345 | 0.308161 | 1.970667 | 97.5 | null | null | null | null | null | null |
56 | 0 | 61,137.664063 | 0.07293 | 0.005865 | 0.330202 | 0.302817 | 1.970133 | 99.2 | null | null | null | null | null | null |
57 | 0 | 68,097.460938 | 0.068738 | 0.015102 | 0.27659 | 0.315939 | 1.9696 | 101 | null | null | null | null | null | null |
58 | 0 | 65,754.242188 | 0.072013 | 0.006089 | 0.318576 | 0.325581 | 1.969067 | 102.8 | null | null | null | null | null | null |
59 | 0 | 62,950.195313 | 0.079068 | 0.00869 | 0.359413 | 0.312645 | 1.968533 | 104.6 | null | null | null | null | null | null |
60 | 0 | 64,865.003906 | 0.079085 | 0.005415 | 0.355939 | 0.316796 | 1.968 | 107.2 | null | null | null | null | null | null |
61 | 0 | 59,558.277344 | 0.076097 | 0.004944 | 0.324431 | 0.293265 | 1.967467 | 110.3 | null | null | null | null | null | null |
62 | 0 | 68,153.921875 | 0.07313 | 0.006238 | 0.305507 | 0.309382 | 1.966933 | 113.4 | null | null | null | null | null | null |
63 | 0 | 61,381.164063 | 0.065576 | 0.004742 | 0.281006 | 0.303248 | 1.9664 | 116.4 | null | null | null | null | null | null |
64 | 0 | 64,527.386719 | 0.101933 | 0.006979 | 0.399483 | 0.3078 | 1.965867 | 119.6 | null | null | null | null | null | null |
65 | 0 | 67,006.226563 | 0.07036 | 0.00529 | 0.307905 | 0.320465 | 1.965333 | 122.8 | null | null | null | null | null | null |
66 | 0 | 57,691.785156 | 0.072019 | 0.005555 | 0.314792 | 0.316625 | 1.9648 | 126 | null | null | null | null | null | null |
67 | 0 | 66,410.78125 | 0.085282 | 0.006592 | 0.347487 | 0.321851 | 1.964267 | 129.1 | null | null | null | null | null | null |
68 | 0 | 64,550.027344 | 0.071608 | 0.01717 | 0.333859 | 0.321818 | 1.963733 | 132 | null | null | null | null | null | null |
69 | 0 | 63,008.046875 | 0.084882 | 0.009271 | 0.359726 | 0.307259 | 1.9632 | 135.1 | null | null | null | null | null | null |
70 | 0 | 62,789.671875 | 0.102499 | 0.008196 | 0.355889 | 0.3181 | 1.962667 | 138.2 | null | null | null | null | null | null |
71 | 0 | 56,765.28125 | 0.095089 | 0.006658 | 0.34685 | 0.301833 | 1.962133 | 141.2 | null | null | null | null | null | null |
72 | 0 | 62,086.523438 | 0.0665 | 0.004488 | 0.286256 | 0.310161 | 1.9616 | 144.4 | null | null | null | null | null | null |
73 | 0 | 59,099.953125 | 0.069672 | 0.005199 | 0.286071 | 0.301628 | 1.961067 | 147.5 | null | null | null | null | null | null |
74 | 0 | 61,910.609375 | 0.071244 | 0.005863 | 0.310513 | 0.338826 | 1.960533 | 150.7 | null | null | null | null | null | null |
75 | 0 | 62,439.03125 | 0.067704 | 0.005556 | 0.293533 | 0.30491 | 1.96 | 154 | null | null | null | null | null | null |
76 | 0 | 64,292.574219 | 0.075747 | 0.006017 | 0.330933 | 0.320781 | 1.959467 | 157.3 | null | null | null | null | null | null |
77 | 0 | 58,273.066406 | 0.078521 | 0.00745 | 0.311528 | 0.317687 | 1.958933 | 160.6 | null | null | null | null | null | null |
78 | 0 | 59,039.46875 | 0.084864 | 0.007936 | 0.347023 | 0.315553 | 1.9584 | 164.4 | null | null | null | null | null | null |
79 | 0 | 59,350.480469 | 0.100741 | 0.007015 | 0.358851 | 0.343646 | 1.957867 | 168.2 | null | null | null | null | null | null |
80 | 0 | 51,756.082031 | 0.065912 | 0.006041 | 0.279364 | 0.293335 | 1.957333 | 172.1 | null | null | null | null | null | null |
81 | 0 | 55,906.683594 | 0.072912 | 0.00587 | 0.302366 | 0.305793 | 1.9568 | 175.7 | null | null | null | null | null | null |
82 | 0 | 58,832.769531 | 0.086923 | 0.006513 | 0.337984 | 0.326591 | 1.956267 | 178.4 | null | null | null | null | null | null |
83 | 0 | 59,081.203125 | 0.065503 | 0.005261 | 0.275605 | 0.3131 | 1.955733 | 181 | null | null | null | null | null | null |
84 | 0 | 60,523.792969 | 0.09413 | 0.022115 | 0.355836 | 0.326321 | 1.9552 | 182.9 | null | null | null | null | null | null |
85 | 0 | 59,522.015625 | 0.080245 | 0.005649 | 0.313296 | 0.325403 | 1.954667 | 185 | null | null | null | null | null | null |
86 | 0 | 61,804.699219 | 0.079984 | 0.013544 | 0.319657 | 0.327018 | 1.954133 | 187.6 | null | null | null | null | null | null |
87 | 0 | 59,948.808594 | 0.073971 | 0.006908 | 0.31833 | 0.319959 | 1.9536 | 190.5 | null | null | null | null | null | null |
88 | 0 | 61,465.503906 | 0.065351 | 0.005682 | 0.295167 | 0.306663 | 1.953067 | 193 | null | null | null | null | null | null |
89 | 0 | 59,821.601563 | 0.062671 | 0.004226 | 0.263955 | 0.312683 | 1.952533 | 195.7 | null | null | null | null | null | null |
90 | 0 | 59,934.535156 | 0.082188 | 0.007665 | 0.342096 | 0.311449 | 1.952 | 198.4 | null | null | null | null | null | null |
91 | 0 | 59,889.710938 | 0.080817 | 0.00548 | 0.356075 | 0.302581 | 1.951467 | 201 | null | null | null | null | null | null |
92 | 0 | 63,515.542969 | 0.09198 | 0.007371 | 0.384392 | 0.319163 | 1.950933 | 203.8 | null | null | null | null | null | null |
93 | 0 | 61,429.105469 | 0.074194 | 0.005713 | 0.33817 | 0.32125 | 1.9504 | 206.5 | null | null | null | null | null | null |
94 | 0 | 58,586.640625 | 0.068306 | 0.005437 | 0.289565 | 0.310958 | 1.949867 | 209.2 | null | null | null | null | null | null |
95 | 0 | 58,511.171875 | 0.068462 | 0.005273 | 0.292141 | 0.312491 | 1.949333 | 212 | null | null | null | null | null | null |
96 | 0 | 62,291.1875 | 0.069144 | 0.005478 | 0.313845 | 0.315532 | 1.9488 | 214.7 | null | null | null | null | null | null |
97 | 0 | 50,326.519531 | 0.058927 | 0.004854 | 0.22975 | 0.282037 | 1.948267 | 217.6 | null | null | null | null | null | null |
98 | 0 | 57,521.300781 | 0.061465 | 0.004382 | 0.257778 | 0.302306 | 1.947733 | 220.4 | null | null | null | null | null | null |
99 | 0 | 55,334.917969 | 0.068919 | 0.00632 | 0.282125 | 0.293525 | 1.9472 | 223.2 | null | null | null | null | null | null |
End of preview.
Open Interpretability: inputs of papers and analyses
The files that papers, analyses and scripts of
Open Interpretability read from its
git-ignored exchange/ folder. Examples are SPD checkpoints and training logs, reviewer
prompts and probe sets, and corpus samples. data/exchange-manifest.json in the
repository pins this dataset's revision and each file's SHA-256, and
scripts/exchange.py fetch downloads and checks them.
Text in these files quotes the corpora that the scans read, under their own terms. Examples are pile-10k (bigscience-bloom-rail-1.0, each Pile component under its own) and FineWeb-Edu (ODC-BY). Model outputs and code-generated files are under the repository's MIT licence. Pile corpus files themselves are not included.
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