Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
path: string
imports: list<item: string>
child 0, item: string
premises: list<item: struct<full_name: string, code: string, start: list<item: int64>, end: list<item: int64>, (... 15 chars omitted)
child 0, item: struct<full_name: string, code: string, start: list<item: int64>, end: list<item: int64>, kind: stri (... 3 chars omitted)
child 0, full_name: string
child 1, code: string
child 2, start: list<item: int64>
child 0, item: int64
child 3, end: list<item: int64>
child 0, item: int64
child 4, kind: string
n_pairs: struct<min_to_max: int64, inf_to_sup: int64, add_to_mul: int64, sub_to_div: int64, zero_to_one: int6 (... 311 chars omitted)
child 0, min_to_max: int64
child 1, inf_to_sup: int64
child 2, add_to_mul: int64
child 3, sub_to_div: int64
child 4, zero_to_one: int64
child 5, le_to_lt: int64
child 6, list_to_multiset: int64
child 7, set_to_finset: int64
child 8, nat_to_int: int64
child 9, unprimed_to_primed: int64
child 10, differentiable_to_hasderiv: int64
child 11, sup_inf: int64
child 12, top_bot: int64
child 13, max_min: int64
child 14, upper_lower: int64
child 15, ceil_floor: int64
child 16, atTop_atBot: int64
child 17, add_mul: int64
child 18, image_preimage: int64
child 19, map_comap: int64
transfer: struct<full: struct<add_to_mul: struct<relation: double, plain: double, wrong: double, lift: double> (... 734 chars omitted)
child 0, full: struct<add_to_mul: struct<relat
...
child 4, sub_to_div: double
child 5, zero_to_one: double
child 6, le_to_lt: double
child 7, list_to_multiset: double
child 8, set_to_finset: double
child 9, nat_to_int: double
child 10, unprimed_to_primed: double
child 11, differentiable_to_hasderiv: double
child 12, sup_inf: double
child 13, top_bot: double
child 14, max_min: double
child 15, upper_lower: double
child 16, ceil_floor: double
child 17, atTop_atBot: double
child 18, add_mul: double
child 19, image_preimage: double
child 20, map_comap: double
child 2, name: struct<_floor: double, min_to_max: double, inf_to_sup: double, add_to_mul: double, sub_to_div: doubl (... 347 chars omitted)
child 0, _floor: double
child 1, min_to_max: double
child 2, inf_to_sup: double
child 3, add_to_mul: double
child 4, sub_to_div: double
child 5, zero_to_one: double
child 6, le_to_lt: double
child 7, list_to_multiset: double
child 8, set_to_finset: double
child 9, nat_to_int: double
child 10, unprimed_to_primed: double
child 11, differentiable_to_hasderiv: double
child 12, sup_inf: double
child 13, top_bot: double
child 14, max_min: double
child 15, upper_lower: double
child 16, ceil_floor: double
child 17, atTop_atBot: double
child 18, add_mul: double
child 19, image_preimage: double
child 20, map_comap: double
to
{'variants': List(Value('string')), 'n_pairs': {'min_to_max': Value('int64'), 'inf_to_sup': Value('int64'), 'add_to_mul': Value('int64'), 'sub_to_div': Value('int64'), 'zero_to_one': Value('int64'), 'le_to_lt': Value('int64'), 'list_to_multiset': Value('int64'), 'set_to_finset': Value('int64'), 'nat_to_int': Value('int64'), 'unprimed_to_primed': Value('int64'), 'differentiable_to_hasderiv': Value('int64'), 'sup_inf': Value('int64'), 'top_bot': Value('int64'), 'max_min': Value('int64'), 'upper_lower': Value('int64'), 'ceil_floor': Value('int64'), 'atTop_atBot': Value('int64'), 'add_mul': Value('int64'), 'image_preimage': Value('int64'), 'map_comap': Value('int64')}, 'coherence': {'full': {'_floor': Value('float64'), 'min_to_max': Value('float64'), 'inf_to_sup': Value('float64'), 'add_to_mul': Value('float64'), 'sub_to_div': Value('float64'), 'zero_to_one': Value('float64'), 'le_to_lt': Value('float64'), 'list_to_multiset': Value('float64'), 'set_to_finset': Value('float64'), 'nat_to_int': Value('float64'), 'unprimed_to_primed': Value('float64'), 'differentiable_to_hasderiv': Value('float64'), 'sup_inf': Value('float64'), 'top_bot': Value('float64'), 'max_min': Value('float64'), 'upper_lower': Value('float64'), 'ceil_floor': Value('float64'), 'atTop_atBot': Value('float64'), 'add_mul': Value('float64'), 'image_preimage': Value('float64'), 'map_comap': Value('float64')}, 'stmt': {'_floor': Value('float64'), 'min_to_max': Value('float64'), 'inf_to_sup': Value('float64'), 'add_to_
...
}}, 'stmt': {'duality_x_duality': Value('float64'), 'control_x_control': Value('float64'), 'duality_x_control': Value('float64'), 'pairs': {'sup_inf|top_bot': Value('float64'), 'sup_inf|max_min': Value('float64'), 'sup_inf|upper_lower': Value('float64'), 'sup_inf|ceil_floor': Value('float64'), 'sup_inf|atTop_atBot': Value('float64'), 'top_bot|max_min': Value('float64'), 'top_bot|upper_lower': Value('float64'), 'top_bot|ceil_floor': Value('float64'), 'top_bot|atTop_atBot': Value('float64'), 'max_min|upper_lower': Value('float64'), 'max_min|ceil_floor': Value('float64'), 'max_min|atTop_atBot': Value('float64'), 'upper_lower|ceil_floor': Value('float64'), 'upper_lower|atTop_atBot': Value('float64'), 'ceil_floor|atTop_atBot': Value('float64')}}, 'name': {'duality_x_duality': Value('float64'), 'control_x_control': Value('float64'), 'duality_x_control': Value('float64'), 'pairs': {'sup_inf|top_bot': Value('float64'), 'sup_inf|max_min': Value('float64'), 'sup_inf|upper_lower': Value('float64'), 'sup_inf|ceil_floor': Value('float64'), 'sup_inf|atTop_atBot': Value('float64'), 'top_bot|max_min': Value('float64'), 'top_bot|upper_lower': Value('float64'), 'top_bot|ceil_floor': Value('float64'), 'top_bot|atTop_atBot': Value('float64'), 'max_min|upper_lower': Value('float64'), 'max_min|ceil_floor': Value('float64'), 'max_min|atTop_atBot': Value('float64'), 'upper_lower|ceil_floor': Value('float64'), 'upper_lower|atTop_atBot': Value('float64'), 'ceil_floor|atTop_atBot': Value('float64')}}}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
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
path: string
imports: list<item: string>
child 0, item: string
premises: list<item: struct<full_name: string, code: string, start: list<item: int64>, end: list<item: int64>, (... 15 chars omitted)
child 0, item: struct<full_name: string, code: string, start: list<item: int64>, end: list<item: int64>, kind: stri (... 3 chars omitted)
child 0, full_name: string
child 1, code: string
child 2, start: list<item: int64>
child 0, item: int64
child 3, end: list<item: int64>
child 0, item: int64
child 4, kind: string
n_pairs: struct<min_to_max: int64, inf_to_sup: int64, add_to_mul: int64, sub_to_div: int64, zero_to_one: int6 (... 311 chars omitted)
child 0, min_to_max: int64
child 1, inf_to_sup: int64
child 2, add_to_mul: int64
child 3, sub_to_div: int64
child 4, zero_to_one: int64
child 5, le_to_lt: int64
child 6, list_to_multiset: int64
child 7, set_to_finset: int64
child 8, nat_to_int: int64
child 9, unprimed_to_primed: int64
child 10, differentiable_to_hasderiv: int64
child 11, sup_inf: int64
child 12, top_bot: int64
child 13, max_min: int64
child 14, upper_lower: int64
child 15, ceil_floor: int64
child 16, atTop_atBot: int64
child 17, add_mul: int64
child 18, image_preimage: int64
child 19, map_comap: int64
transfer: struct<full: struct<add_to_mul: struct<relation: double, plain: double, wrong: double, lift: double> (... 734 chars omitted)
child 0, full: struct<add_to_mul: struct<relat
...
child 4, sub_to_div: double
child 5, zero_to_one: double
child 6, le_to_lt: double
child 7, list_to_multiset: double
child 8, set_to_finset: double
child 9, nat_to_int: double
child 10, unprimed_to_primed: double
child 11, differentiable_to_hasderiv: double
child 12, sup_inf: double
child 13, top_bot: double
child 14, max_min: double
child 15, upper_lower: double
child 16, ceil_floor: double
child 17, atTop_atBot: double
child 18, add_mul: double
child 19, image_preimage: double
child 20, map_comap: double
child 2, name: struct<_floor: double, min_to_max: double, inf_to_sup: double, add_to_mul: double, sub_to_div: doubl (... 347 chars omitted)
child 0, _floor: double
child 1, min_to_max: double
child 2, inf_to_sup: double
child 3, add_to_mul: double
child 4, sub_to_div: double
child 5, zero_to_one: double
child 6, le_to_lt: double
child 7, list_to_multiset: double
child 8, set_to_finset: double
child 9, nat_to_int: double
child 10, unprimed_to_primed: double
child 11, differentiable_to_hasderiv: double
child 12, sup_inf: double
child 13, top_bot: double
child 14, max_min: double
child 15, upper_lower: double
child 16, ceil_floor: double
child 17, atTop_atBot: double
child 18, add_mul: double
child 19, image_preimage: double
child 20, map_comap: double
to
{'variants': List(Value('string')), 'n_pairs': {'min_to_max': Value('int64'), 'inf_to_sup': Value('int64'), 'add_to_mul': Value('int64'), 'sub_to_div': Value('int64'), 'zero_to_one': Value('int64'), 'le_to_lt': Value('int64'), 'list_to_multiset': Value('int64'), 'set_to_finset': Value('int64'), 'nat_to_int': Value('int64'), 'unprimed_to_primed': Value('int64'), 'differentiable_to_hasderiv': Value('int64'), 'sup_inf': Value('int64'), 'top_bot': Value('int64'), 'max_min': Value('int64'), 'upper_lower': Value('int64'), 'ceil_floor': Value('int64'), 'atTop_atBot': Value('int64'), 'add_mul': Value('int64'), 'image_preimage': Value('int64'), 'map_comap': Value('int64')}, 'coherence': {'full': {'_floor': Value('float64'), 'min_to_max': Value('float64'), 'inf_to_sup': Value('float64'), 'add_to_mul': Value('float64'), 'sub_to_div': Value('float64'), 'zero_to_one': Value('float64'), 'le_to_lt': Value('float64'), 'list_to_multiset': Value('float64'), 'set_to_finset': Value('float64'), 'nat_to_int': Value('float64'), 'unprimed_to_primed': Value('float64'), 'differentiable_to_hasderiv': Value('float64'), 'sup_inf': Value('float64'), 'top_bot': Value('float64'), 'max_min': Value('float64'), 'upper_lower': Value('float64'), 'ceil_floor': Value('float64'), 'atTop_atBot': Value('float64'), 'add_mul': Value('float64'), 'image_preimage': Value('float64'), 'map_comap': Value('float64')}, 'stmt': {'_floor': Value('float64'), 'min_to_max': Value('float64'), 'inf_to_sup': Value('float64'), 'add_to_
...
}}, 'stmt': {'duality_x_duality': Value('float64'), 'control_x_control': Value('float64'), 'duality_x_control': Value('float64'), 'pairs': {'sup_inf|top_bot': Value('float64'), 'sup_inf|max_min': Value('float64'), 'sup_inf|upper_lower': Value('float64'), 'sup_inf|ceil_floor': Value('float64'), 'sup_inf|atTop_atBot': Value('float64'), 'top_bot|max_min': Value('float64'), 'top_bot|upper_lower': Value('float64'), 'top_bot|ceil_floor': Value('float64'), 'top_bot|atTop_atBot': Value('float64'), 'max_min|upper_lower': Value('float64'), 'max_min|ceil_floor': Value('float64'), 'max_min|atTop_atBot': Value('float64'), 'upper_lower|ceil_floor': Value('float64'), 'upper_lower|atTop_atBot': Value('float64'), 'ceil_floor|atTop_atBot': Value('float64')}}, 'name': {'duality_x_duality': Value('float64'), 'control_x_control': Value('float64'), 'duality_x_control': Value('float64'), 'pairs': {'sup_inf|top_bot': Value('float64'), 'sup_inf|max_min': Value('float64'), 'sup_inf|upper_lower': Value('float64'), 'sup_inf|ceil_floor': Value('float64'), 'sup_inf|atTop_atBot': Value('float64'), 'top_bot|max_min': Value('float64'), 'top_bot|upper_lower': Value('float64'), 'top_bot|ceil_floor': Value('float64'), 'top_bot|atTop_atBot': Value('float64'), 'max_min|upper_lower': Value('float64'), 'max_min|ceil_floor': Value('float64'), 'max_min|atTop_atBot': Value('float64'), 'upper_lower|ceil_floor': Value('float64'), 'upper_lower|atTop_atBot': Value('float64'), 'ceil_floor|atTop_atBot': Value('float64')}}}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
vector_behavior — data bundle
Companion data for https://github.com/david-busbib/vector_behavior-
Four theorem embedding spaces over the same 99,552 Mathlib theorems, restricted to the rows the study uses and written in pool order, float32. Also carries the proof-dependency graph, reduced to what the scripts actually read.
| directory | space | dim | size |
|---|---|---|---|
embeddings_mistral/ |
e5_mistral — intfloat/e5-mistral-7b-instruct |
4096 | 1.6 GB |
embeddings_corpus/ |
e5_large — intfloat/e5-large-v2 |
1024 | 407 MB |
embeddings_fixed/ |
e5_large_stmt — same model, different text source |
1024 | 407 MB |
embeddings_deepseek/ |
deepseek_prover — degenerate, contrast only |
4096 | 1.6 GB |
results_shared/ |
pool.json, subset.json, neighbors.npz | 27 MB | |
graph_uses.json.gz |
proof dependency graph, 55,575 theorems | 2.4 MB |
Setup
git clone https://github.com/david-busbib/vector_behavior-.git
cd vector_behavior-
pip install -r requirements.txt
huggingface-cli download davidbusbib/vector-behavior-data \
--repo-type dataset --local-dir vb_data
cp vb_data/results_shared/* results/shared/
export VB_DATA=$PWD/vb_data
python scripts/19_read_mutual.py
Pulling only what you need
Each space is ~0.4-1.6 GB. To take one:
huggingface-cli download davidbusbib/vector-behavior-data \
--repo-type dataset --local-dir vb_data \
--include "embeddings_corpus/*" "results_shared/*" "graph_uses.json.gz" "to_additive.json"
Scripts filter themselves to whichever spaces are present, so a partial download runs the whole pipeline over the subset you took.
Notes
- Rows are pool-ordered, so
pool["rows"][space]is the identity. This is why the arrays are smaller than the originals (99,552 rather than 180,907 / 104,050 rows) and why no script needs changing. - float32 throughout. float16 moves the numbers.
deepseek_proveris degenerate — 81% of its variance sits in one direction after centring, and it was extracted under fp16. It is in the study as a contrast, never as evidence. SeeRESULTS.md.- Proofs and the dependency graph are held back as validation in this project.
graph_uses.json.gzis here so Phase 3 can be rerun; it is not an encoder input.
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