Datasets:

spare-rl
/

spare-gpt55-static-corpus

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
game: string
load_s: double
max_step_s: double
reason: string
reset_s: double
skill: string
valid: bool
source_manifest_line: int64
grounding_subject: string
sha256: string
code: string
grounding_doc_id: int64
difficulty: string
grounding_url: string
to
{'code': Value('string'), 'difficulty': Value('string'), 'game': Value('string'), 'grounding_doc_id': Value('int64'), 'grounding_subject': Value('string'), 'grounding_url': Value('string'), 'load_s': Value('float64'), 'max_step_s': Value('float64'), 'reset_s': Value('float64'), 'sha256': Value('string'), 'skill': Value('string'), 'source_manifest_line': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              game: string
              load_s: double
              max_step_s: double
              reason: string
              reset_s: double
              skill: string
              valid: bool
              source_manifest_line: int64
              grounding_subject: string
              sha256: string
              code: string
              grounding_doc_id: int64
              difficulty: string
              grounding_url: string
              to
              {'code': Value('string'), 'difficulty': Value('string'), 'game': Value('string'), 'grounding_doc_id': Value('int64'), 'grounding_subject': Value('string'), 'grounding_url': Value('string'), 'load_s': Value('float64'), 'max_step_s': Value('float64'), 'reset_s': Value('float64'), 'sha256': Value('string'), 'skill': Value('string'), 'source_manifest_line': Value('int64')}
              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 1683, 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 1869, 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.

code string	difficulty string	game string	grounding_doc_id int64	grounding_subject string	grounding_url string	load_s float64	sha256 string	skill string	source_manifest_line int64
import random import re from typing import Tuple try: from math_verify import parse, verify except Exception: parse = None verify = None def verify_answer(player_answer, solution): """Check if answer is correct: string match first, then math equivalence.""" if str(player_answer).strip() == str(so...	medium	game_000000_mathematical_reasoning.py	9,674		http://math.stackexchange.com/questions/tagged/fake-proofs+algebra-precalculus	0.003	cb758b8df53e48c274723e42764d3bf7bbbbd32b95d770eb6ff453035a308ed8	Mathematical_Reasoning	1
import random import re import copy from typing import Tuple try: from math_verify import parse, verify except Exception: parse = None verify = None def verify_answer(player_answer, solution): """Check if answer is correct: string match first, then math equivalence.""" if str(player_answer).strip...	medium	game_000001_mathematical_reasoning.py	8,935		https://mathematica.stackexchange.com/questions/89183/factor-out-the-scalar-multiplier-for-the-dot-product-of-2x2-matrices/89189	0.003	9a119e5166ba15448e0323987811dd3f4b7774d0f649cd89399ac66c2eda9669	Mathematical_Reasoning	2
import random import re import math import cmath from typing import Tuple try: from math_verify import parse, verify except Exception: def parse(x): return x def verify(a, b): return str(a).strip() == str(b).strip() def verify_answer(player_answer, solution): """Check if answer is co...	medium	game_000002_mathematical_reasoning.py	4,506		https://www.jiskha.com/display.cgi?id=1173132849	0.004	b814ced9344f06c1dfc031d785c8021e2f3aa2ff42bcebf85b6fb0fb99fe8ddc	Mathematical_Reasoning	3
import random import re from typing import Tuple from fractions import Fraction from math import ceil try: from math_verify import parse, verify except Exception: parse = None verify = None def verify_answer(player_answer, solution): """Check if answer is correct: string match first, then math equiva...	medium	game_000003_mathematical_reasoning.py	409		http://mathproblems123.wordpress.com/2010/09/16/martingales-applications/	0.003	665982ca88606d924beb06b1dd29ef0b3bd70c1087c2a276377f80f1d040fe9a	Mathematical_Reasoning	4
import random import re from typing import Tuple try: from math_verify import parse, verify except Exception: parse = None verify = None def verify_answer(player_answer, solution): """Check if answer is correct: string match first, then math equivalence.""" if str(player_answer).strip() == str(so...	medium	game_000004_mathematical_reasoning.py	12,149	physics	MegaScience/textbook_reasoning	0.003	df5572ae97b724d78eb190920d36cfb534fb65d57a499077eb2758278f4a5a8d	Mathematical_Reasoning	5
import random import re from typing import Tuple from fractions import Fraction try: from math_verify import parse, verify except Exception: def parse(x): return str(x) def verify(a, b): return str(a).strip() == str(b).strip() def verify_answer(player_answer, solution): """Check if a...	medium	game_000005_mathematical_reasoning.py	2,286		http://www.helistart.com/MomentCouple.aspx	0.004	7fa6a23f6af2a562a385abee357c5945228355d2f1b59bbb46f160656cffb388	Mathematical_Reasoning	6
import random import re from typing import Tuple try: from math_verify import parse, verify except Exception: def parse(x): return x def verify(a, b): return str(a).strip() == str(b).strip() def verify_answer(player_answer, solution): """Check if answer is correct: string match first...	medium	game_000006_mathematical_reasoning.py	11,087	chemistry	MegaScience/textbook_reasoning	0.003	17d2a41813cb537bd3696627905ada5e9f8d1dcbb2fd67d81b93d2b29526299c	Mathematical_Reasoning	7
import random import re from typing import Tuple try: from math_verify import parse, verify except Exception: def parse(x): return str(x).strip() def verify(a, b): return str(a).strip() == str(b).strip() def verify_answer(player_answer, solution): """Check if answer is correct: string...	medium	game_000007_mathematical_reasoning.py	6,912		https://www.physicsforums.com/threads/another-proof-that-local-realism-does-not-work.745574/	0.003	620ea136815d5d9fe8edc377c5fc89cfac95895508b8470ba5d1a8bb29454ff9	Mathematical_Reasoning	8
import random import re from typing import Tuple from fractions import Fraction try: from math_verify import parse, verify except Exception: def parse(x): return x def verify(a, b): return str(a).strip() == str(b).strip() def verify_answer(player_answer, solution): """Check if answer...	medium	game_000008_mathematical_reasoning.py	12,135	medicine	MegaScience/textbook_reasoning	0.003	cc54387ab9dc266fd34fbaf6861156ff2262f51767d0fa844c272942d2eac691	Mathematical_Reasoning	9
import random import re import ast import operator from typing import Tuple try: from math_verify import parse, verify except Exception: parse = None verify = None def verify_answer(player_answer, solution): """Check if answer is correct: string match first, then math equivalence.""" if str(playe...	medium	game_000009_mathematical_reasoning.py	3,657		http://math.hws.edu/javanotes/c6/s6.html	0.004	f4ec9057fd151ffdf0969e79a4e6512fbe67ab15f1cf9db8a0d0176874231377	Mathematical_Reasoning	10

End of preview.

SPARE GPT-5.5 Grounded Cognitive Multi-Turn Games

This public dataset contains 7,872 validated Python game environments for actor-only SPARE training.

Six cognitive skills, exactly 1,312 environments per skill
Generated with GPT-5.5 and grounded by spice_megascience_15k.jsonl
Grounding corpus SHA-256: a36a928b4940b5b5d9e3f4cb5804a94c69462360943adb3be14613c82f0f72c0
Maximum 25 turns and 32K generation context
Every environment passes load, reset, step, and replay validation with a 2-second reset budget
No tool-use or terminal environments

Layout

games/*.py: trainer-ready SPARE environment files
data/train.jsonl: Hugging Face datasets representation with embedded source code
manifest.jsonl: generation, skill, grounding, source, and checksum metadata
validation_manifest.jsonl: per-environment validation results
validation_summary.json: validation totals and parameters
checksums.sha256: SHA-256 checksums for every game file

Training

The pool supports 400 rollout steps with 24 environments per step. SPARE's static no-replacement sampler exhausts and reshuffles the full pool before reuse, so 7,872 environments are seen once before 1,728 controlled repeats.

hf download simonycl/spare-gpt55-cognitive-multiturn-7872 \
  --repo-type dataset \
  --local-dir /scratch/spare-gpt55-cognitive-multiturn-7872

Point STATIC_POOL_DIR at the downloaded games/ directory.

Downloads last month: 1,599

Total file size:

292 MB