The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: TypeError
Message: Couldn't cast array of type
struct<opponent: string, won: bool, turns: int64>
to
{'opponent_id': Value('string'), 'turns': Value('int64'), 'seconds': Value('float64'), 'won': Value('bool')}
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
cast_array_to_feature(
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1852, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2109, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2149, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<opponent: string, won: bool, turns: int64>
to
{'opponent_id': Value('string'), 'turns': Value('int64'), 'seconds': Value('float64'), 'won': Value('bool')}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.
The Mind of Tashi — leaderboard runs
The durable, public, append-only run log behind the leaderboard in the
playable Space.
One JSON file per completed run under runs/, so concurrent climbers can
never race-clobber each other's submissions.
To enable the board on the Space, set the Variable
LEADERBOARD_REPO=build-small-hackathon/mind-of-tashi-runs and the Secret
HF_TOKEN (write scope). Without them the UI shows "Leaderboard offline".
Layout
runs/
<unix_ts>-<run_id>.json one completed run
Run schema
| Field | Type | Notes |
|---|---|---|
run_id |
str | 12-hex uuid |
ts |
int | unix seconds |
username |
str | ≤40 chars |
source |
str | hf-oauth (verified) or guest (typed name) |
total_turns |
int | turns across the whole run |
total_seconds |
float | wall-clock |
per_level |
list | {opponent_id, turns, seconds, won} per rung |
won |
bool | full ladder cleared |
backend |
str | llama.cpp / mock — which opponent mind played |
Identity policy (server-side)
On the deployed Space the OAuth username from the session overwrites
whatever the client posts (source="hf-oauth"), so you cannot submit as
someone else. Run locally (SPACE_ID unset), the typed name is trusted and
tagged source="guest". The leaderboard UI shows a ✓ hf badge on verified
rows.
Ranking
top_runs counts only won runs, keeps each user's single best clear
(fewest total_turns, ties broken by lowest total_seconds), and returns up
to 20. Every attempt (including losses) is stored for analytics density; only
wins rank.
Part of the bundle
Companion to the six-artifact Build Small Hackathon, Track Two submission
under build-small-hackathon/mind-of-tashi-* (game Space · self-play dataset ·
SFT model + GGUF · OpenEnv gym · GRPO model + GGUF).
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