The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
in: struct<data: string, type: string>
out: struct<data: string, type: string>
client: string
vs
href: string
title: string
detail: string
challenge_hash: string
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
return next(iter(self.iter(batch_size=n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
for key, example in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
for key, pa_table in self._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 527, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
in: struct<data: string, type: string>
out: struct<data: string, type: string>
client: string
vs
href: string
title: string
detail: string
challenge_hash: stringNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Challenges and descriptions from vimgolf.com
Scraper code at: https://github.com/James4Ever0/agi_computer_control/tree/master/scrape_vimgolf_challenges_and_solutions
Dataclasses used in: https://github.com/James4Ever0/vimgolf-gym/blob/main/vimgolf_gym/dataclasses.py
File structure:
challenges
|_ <challenge_hash>
|_ metadata.json
|_ challenge.json
|_ worst_solution.json
worst_solution.json is scraped from vimgolf.com.
Anonymous viewer can only view the worst solution, or the solution with the highest score/stop.
Registered users can only view solutions higher than their submissions in the same challenge.
from pydantic import BaseModel
class VimGolfWorstSolution(BaseModel):
"""Represents a worst solution entry in VimGolf.
Attributes:
rank: The rank of the solution (provided as a string in the reference).
solution: The sequence of Vim keystrokes used in the solution.
header: Descriptive header containing user and challenge details.
"""
rank: str
solution: str
header: str
The header can be further parsed using the following code:
from parse import parse
from datetime import datetime
class VimGolfParsedPublicSolutionHeader(BaseModel):
"""Represents the header of a VimGolf public solution entry.
Attributes:
rank: The rank of the solution (provided as a string in the reference).
score: The score of the solution (provided as a string in the reference).
user_name: The name of the user who submitted the solution.
user_id: The ID of the user who submitted the solution.
date: The date the solution was submitted.
"""
rank: str
score: str
user_name: str
user_id: str
date: datetime
def parse_public_solution_header(input_str: str) -> VimGolfParsedPublicSolutionHeader:
"""Parse the public solution header string"""
template = "#{rank} {user_name} / @{user_id} - Score: {score} - {month}/{day}/{year} @ {hour}:{minute}"
# Parse the input string using the template
parsed_data = parse(template, input_str)
# Convert parsed fields to integers and process the year
month = int(parsed_data["month"])
day = int(parsed_data["day"])
year = int(parsed_data["year"])
hour = int(parsed_data["hour"])
minute = int(parsed_data["minute"])
# Adjust two-digit year to four digits
full_year = year + 2000 if year < 70 else year + 1900
# Create a datetime object and format the timestamp
dt = datetime(full_year, month, day, hour, minute)
timestamp = dt.strftime("%Y-%m-%d %H:%M:%S")
ret = VimGolfParsedPublicSolutionHeader(
rank=parsed_data["rank"],
user_name=parsed_data["user_name"],
user_id=parsed_data["user_id"],
score=parsed_data["score"],
timestamp=timestamp,
)
return ret
metadata.json is for storing descriptions of the current challenge.
from pydantic import BaseModel
class VimGolfChallengeMetadata(BaseModel):
"""
Represents metadata for a VimGolf challenge.
Attributes:
href: URL path to the challenge.
title: Name/description of the challenge.
detail: Explanation of the challenge task.
challenge_hash: Unique identifier hash for the challenge.
"""
href: str
title: str
detail: str
challenge_hash: str
challenge.json is the definition of the challenge.
from pydantic import BaseModel, Field
class VimGolfChallengeDefinition(BaseModel):
"""
Represents a VimGolf challenge definition including input/output code and client information.
Attributes:
input: Starting code and its type (nested model)
output: Expected solution code and its type (nested model)
client_version: Version of the client that created the challenge
"""
class InputOutputModel(BaseModel):
"""
Nested model for input/output code definitions.
Attributes:
data: The actual code content
type: Programming language identifier (e.g., 'rb' for Ruby)
"""
data: str
type: str
input: InputOutputModel = Field(..., alias="in")
output: InputOutputModel = Field(..., alias="out")
client_version: str = Field(..., alias="client")
class Config:
validate_by_name = True
Code for loading data from json:
from pydantic import BaseModel
import json
from pathlib import Path
def parse_json_file(file_path: Path, model: type[BaseModel]) -> BaseModel:
"""Parse a JSON file into a specified Pydantic model"""
with open(file_path, "r", encoding="utf-8") as f:
data = json.load(f)
return model.parse_obj(data)
# Usage example
if __name__ == "__main__":
# Example paths (replace with actual file paths)
metadata_path = Path("challenge_metadata.json")
definition_path = Path("challenge_definition.json")
# Parse metadata
metadata = parse_json_file(metadata_path, VimGolfChallengeMetadata)
print(f"Challenge Title: {metadata.title}")
# Parse challenge definition
challenge_def = parse_json_file(definition_path, VimGolfChallengeDefinition)
print(f"Input Code Type: {challenge_def.input.type}")
print(f"Client Version: {challenge_def.client}")
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