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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
text: string
quality_meta: null
language: string
size: int64
trained_before: bool
source_query: string
url: string
split: string
repo: string
path: string
extension: string
content: string
content_hash: string
collected_at: string
to
{'repo': Value('string'), 'language': Value('string'), 'extension': Value('string'), 'path': Value('string'), 'url': Value('string'), 'content': Value('string'), 'content_hash': Value('string'), 'size': Value('int64'), 'collected_at': Value('string'), 'quality_meta': Json(decode=True), 'trained_before': Value('bool'), 'source_query': Value('string'), 'split': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, 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 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
text: string
quality_meta: null
language: string
size: int64
trained_before: bool
source_query: string
url: string
split: string
repo: string
path: string
extension: string
content: string
content_hash: string
collected_at: string
to
{'repo': Value('string'), 'language': Value('string'), 'extension': Value('string'), 'path': Value('string'), 'url': Value('string'), 'content': Value('string'), 'content_hash': Value('string'), 'size': Value('int64'), 'collected_at': Value('string'), 'quality_meta': Json(decode=True), 'trained_before': Value('bool'), 'source_query': Value('string'), 'split': Value('string')}
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 1694, 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 1880, 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.
repo string | language string | extension string | path string | url string | content string | content_hash string | size int64 | collected_at string | quality_meta unknown | trained_before bool | source_query string | split string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
python/typeshed | python | py | scripts/stubsabot.py | https://github.com/python/typeshed/blob/050197c28b67d4337beee37842fb61f5e1b552d2/scripts/stubsabot.py | #!/usr/bin/env python3
from __future__ import annotations
import argparse
import asyncio
import calendar
import contextlib
import datetime
import enum
import functools
import io
import os
import re
import shutil
import subprocess
import sys
import tarfile
import textwrap
import urllib.parse
import zipfile
from collect... | 57ed318c7bee97f57decaba8bfd68727c92028f0d780398cb4e3e579e771bebd | 0 | 2026-08-28T13:55:24.011006 | {
"original_length": 41765,
"comment_ratio": 0.055,
"ngram_diversity": 0.34600000000000003,
"keyword_count": 14,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
python/typeshed | python | py | lib/ts_utils/mypy.py | https://github.com/python/typeshed/blob/050197c28b67d4337beee37842fb61f5e1b552d2/lib/ts_utils/mypy.py | from __future__ import annotations
import sys
from collections.abc import Generator, Iterable
from contextlib import contextmanager
from typing import Any, NamedTuple
if sys.version_info >= (3, 11):
import tomllib
else:
import tomli as tomllib
from ts_utils.metadata import StubtestSettings, metadata_path
fro... | e7072956ea1c61de2faac92203499183a3d7e486c6e0a3d8e3c036166a4851f3 | 0 | 2026-08-28T13:55:23.832091 | {
"original_length": 3006,
"comment_ratio": 0.129,
"ngram_diversity": 0.509,
"keyword_count": 9,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
usestrix/strix | python | py | strix/core/hooks.py | https://github.com/usestrix/strix/blob/717ffc8f4cbd52614b23cf9504bbfd96b94312b4/strix/core/hooks.py | """SDK run hooks used by Strix orchestration."""
from __future__ import annotations
import logging
import math
from typing import TYPE_CHECKING, Any
from agents.lifecycle import RunHooks
from strix.report.state import get_global_report_state
if TYPE_CHECKING:
from agents import RunContextWrapper
from agen... | 45f33624568379106381bfeb6d5b7441cb1fc43f8d2a95424950ea77f8dc961e | 0 | 2026-08-28T13:54:23.067751 | {
"original_length": 10685,
"comment_ratio": 0,
"ngram_diversity": 0.42,
"keyword_count": 9,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
cactus-compute/needle | python | py | needle/__init__.py | https://github.com/cactus-compute/needle/blob/af6bed6f5942a7eab5513c13013d2b37416b314e/needle/__init__.py | from __future__ import annotations
import ctypes
import json
import os
import sys
import warnings
from .agent.tools import Field, build_schema, pydantic_schema, tool, _is_pydantic_model
__version__ = "2.0.8"
__all__ = ["Needle", "tool", "Field", "extract", "__version__"]
def _library_path():
from .agent import... | 992393aa5905869faab560ee80bdd6566b62ea57cbdc0337991874de1cb5c56d | 0 | 2026-08-28T13:54:27.596264 | {
"original_length": 7371,
"comment_ratio": 0,
"ngram_diversity": 0.52,
"keyword_count": 9,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
usestrix/strix | python | py | strix/llm/warmup.py | https://github.com/usestrix/strix/blob/717ffc8f4cbd52614b23cf9504bbfd96b94312b4/strix/llm/warmup.py | """Background pre-import of the heavy scan dependencies.
The scan engine's import graph (the agents SDK, OpenAI client, LiteLLM, the
Caido SDK, the Docker SDK) costs seconds to import cold, but none of it is
needed until a scan actually starts. Importing it on a daemon thread at CLI
entry overlaps that cost with the I... | f8dc924ea888920332ebd2fa7c93162d413e0112aed202b9db9b55565aa56b52 | 0 | 2026-08-28T13:54:23.208780 | {
"original_length": 1825,
"comment_ratio": 0,
"ngram_diversity": 0.759,
"keyword_count": 8,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
pipeshub-ai/pipeshub-ai | python | py | loadtest/aggregate.py | https://github.com/pipeshub-ai/pipeshub-ai/blob/b262a328a94f1d213919d868ca0ad47f39f4f81b/loadtest/aggregate.py | #!/usr/bin/env python3
"""Roll every run's `summary.json` into one table and a CSV.
./aggregate.py [results_dir]
Reports the MEDIAN of each group's trials, not the mean: one run whose drain
tail stretched the window is an outlier of the measurement, not of the system,
and a median ignores it. The spread column is... | 2ec2c25ca5e197f13eef2a5a6b98197ba48f55fc1dd97aaf697c20ef564cdbfb | 0 | 2026-08-28T13:55:26.575110 | {
"original_length": 5161,
"comment_ratio": 0.01,
"ngram_diversity": 0.671,
"keyword_count": 9,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
ultralytics/ultralytics | python | py | docs/model_data.py | https://github.com/ultralytics/ultralytics/blob/56d6f980a799220ab84291fbb309c796e7a1d049/docs/model_data.py | # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
"""
Module for YOLO model metadata.
This module stores detailed metadata for various YOLO models including authors, organizations,
publication dates, arXiv links, GitHub repositories, documentation URLs, and performance metrics.
When executed as a scr... | e0e9f4a8fa15a063903207722987ea33caa18295bd694b02c651b0fbbc7c5c4e | 0 | 2026-08-28T13:55:28.849530 | {
"original_length": 20347,
"comment_ratio": 0.009000000000000001,
"ngram_diversity": 0.279,
"keyword_count": 4,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
langflow-ai/langflow | python | py | scripts/gp/upload.py | https://github.com/langflow-ai/langflow/blob/da3d5050e83e55f885e0627245676933a867d06b/scripts/gp/upload.py | """Upload English source strings to GP.
Usage:
python upload.py --target frontend --source path/to/en.json
python upload.py --target backend [--source path/to/en.json]
"""
from __future__ import annotations
import argparse
import json
import os
from pathlib import Path
import requests
from gp_client import ... | 1d855c73a072b927d0b9f648538bfc8ee73146a5525a91fd7411c183bab425fe | 0 | 2026-08-28T13:54:25.292559 | {
"original_length": 4004,
"comment_ratio": 0,
"ngram_diversity": 0.497,
"keyword_count": 6,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
dlt-hub/dlt | python | py | dlt/version.py | https://github.com/dlt-hub/dlt/blob/94112ae3a7039d5e05c9af81f68d744fa943ae0b/dlt/version.py | from importlib.metadata import version as pkg_version, distribution as pkg_distribution
from typing import Optional
from urllib.request import url2pathname
from urllib.parse import urlparse
from packaging.requirements import Requirement
DLT_IMPORT_NAME = "dlt"
PKG_NAME = DLT_PKG_NAME = "dlt"
__version__ = pkg_version(... | 906d9dcf898482f77de44f45b281b726e7558c3ed9b5bed0373dfdfded207cea | 0 | 2026-08-28T13:55:21.862492 | {
"original_length": 1763,
"comment_ratio": 0.073,
"ngram_diversity": 0.591,
"keyword_count": 5,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
pipeshub-ai/pipeshub-ai | python | py | loadtest/seed_users.py | https://github.com/pipeshub-ai/pipeshub-ai/blob/b262a328a94f1d213919d868ca0ad47f39f4f81b/loadtest/seed_users.py | #!/usr/bin/env python3
"""Provision load-test users on a local stack.
The accessible-record cache is keyed per user, so a run driven by one identity
measures a cache hit rate no real deployment would see. This creates N users
that all share the org's knowledge bases, so the multi-user run exercises the
real thing.
Cr... | 081727f2f6966f456a4e62fe1c816629de8112844f55f9f7399cdd7d1f38acd6 | 0 | 2026-08-28T13:55:26.702098 | {
"original_length": 10324,
"comment_ratio": 0.023,
"ngram_diversity": 0.541,
"keyword_count": 9,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
xingpingcn/enhanced-FaaS-in-China | python | py | db.py | https://github.com/xingpingcn/enhanced-FaaS-in-China/blob/2b331c7fbcbade5a7da8c87c984b3c9c9f0e10cf/db.py | import aiosqlite,asyncio,time
from sqlite3 import IntegrityError
from config import RECORD_HP,REVIVE,REVIVE_PERIOD
__all__ = ('DB',)
class DB():
def __init__(self, platform:str, db_object:aiosqlite.Connection) :
self.db = db_object
self.platform = platform
async def _init(self):
... | d084b05ed7ce3fa6a6d57038627efd014a927fa9f3d4b8917dccdbb7ba265044 | 0 | 2026-08-28T13:55:19.444935 | {
"original_length": 9206,
"comment_ratio": 0.029,
"ngram_diversity": 0.31,
"keyword_count": 11,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
PostHog/posthog | python | py | ee/urls.py | https://github.com/PostHog/posthog/blob/9ea8a32c05d9bb6c7665875d97f4872449fecd7e/ee/urls.py | from typing import Any
from django.conf import settings
from django.contrib import admin
from django.contrib.admin.exceptions import NotRegistered
from django.urls import include, path, re_path
from django.views.decorators.csrf import csrf_exempt
from django.views.generic import RedirectView
from django_otp.plugins.o... | 72597225d4f5f796aa9f04afe9b54dc07979c14d15d36ece790216b87dbde44e | 0 | 2026-08-28T13:54:18.738861 | {
"original_length": 11296,
"comment_ratio": 0.024,
"ngram_diversity": 0.343,
"keyword_count": 6,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
xingpingcn/enhanced-FaaS-in-China | python | py | main.py | https://github.com/xingpingcn/enhanced-FaaS-in-China/blob/2b331c7fbcbade5a7da8c87c984b3c9c9f0e10cf/main.py | import asyncio,aiosqlite,aiohttp
from platforms_to_test import *
from platforms_to_test import __all__
import set_DNS_record_to_HWcloud
from config import CNAME_BASE_URL
async def task(platform,db):
async with globals()[f'{platform}'](db) as core:
return await core.run()
async def main():
... | c0c7c747dfad504315054e845e3ca955ff2056538e34afbaa01d948e66674ee3 | 0 | 2026-08-28T13:55:19.617053 | {
"original_length": 1062,
"comment_ratio": 0.08700000000000001,
"ngram_diversity": 0.639,
"keyword_count": 8,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
odoo/odoo | python | py | setup.py | https://github.com/odoo/odoo/blob/5c105f5807d6c4146c307884cd926469df287550/setup.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ruff: noqa: F821
# (ruff don't see read variables from release.py)
from setuptools import find_namespace_packages, setup
from os.path import join, dirname
exec(open(join(dirname(__file__), 'odoo', 'release.py'), 'rb').read()) # Load release variables
lib_name = 'odoo'... | ad26a2cba1d54c3f3d4f0425d0a33beae32219d4599a80e5ad31b37ee57154a8 | 0 | 2026-08-28T13:54:20.995923 | {
"original_length": 1966,
"comment_ratio": 0.055,
"ngram_diversity": 0.776,
"keyword_count": 3,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
ultralytics/ultralytics | python | py | docs/build_docs.py | https://github.com/ultralytics/ultralytics/blob/56d6f980a799220ab84291fbb309c796e7a1d049/docs/build_docs.py | # Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
"""Prepare and validate the complete documentation tree with Zensical."""
from __future__ import annotations
import os
import shutil
import subprocess
import tempfile
from pathlib import Path
import yaml
from build_reference import build_reference_d... | 2deabdd4aa8d77c882738b815fcd6c402d4c80c12121a0a63c89a146ce2ac5d0 | 0 | 2026-08-28T13:55:28.978402 | {
"original_length": 9139,
"comment_ratio": 0.046,
"ngram_diversity": 0.541,
"keyword_count": 9,
"syntax_valid": true
} | false | stars:>3000 language:python | train |
coding-kitties/investing-algorithm-framework | python | py | scripts/bench_487.py | https://github.com/coding-kitties/investing-algorithm-framework/blob/cecda8b429fe4eb931db754dcc63bdf210aa9d81/scripts/bench_487.py | """Size + speed comparison for issue #487."""
import copy
import os
import tempfile
import time
from investing_algorithm_framework.domain import (
load_backtests_from_directory,
save_backtests_to_directory,
)
def dir_size(path):
if os.path.isfile(path):
return os.path.getsize(path)
total = 0
... | 126896727de6bf3d5508c5a6790257314399cfcce7225ce3a7f35c5622e1d745 | 0 | 2026-08-28T13:56:29.279798 | {
"original_length": 3946,
"comment_ratio": 0,
"ngram_diversity": 0.5,
"keyword_count": 6,
"syntax_valid": true
} | false | stars:1000..3000 language:python | train |
ascending-llc/jarvis-registry | python | py | scripts/vector_sync.py | https://github.com/ascending-llc/jarvis-registry/blob/aa7b74a8bd492497946665b42004c4ff71d24714/scripts/vector_sync.py | """
Vector DB Sync Script for MCP Gateway Registry
Synchronizes MCP servers and/or A2A agents from MongoDB to the vector database for semantic search.
Each entity is fully rebuilt (delete existing docs + reinsert), so the script is safe to re-run
and will correct any stale or missing data.
Reads connection settings f... | e2b3775fc9486a711d177a860c1851c2f96074ce23cf776714bfd5992c9fe410 | 0 | 2026-08-28T13:57:23.727295 | {
"original_length": 13586,
"comment_ratio": 0,
"ngram_diversity": 0.401,
"keyword_count": 11,
"syntax_valid": true
} | false | stars:1000..3000 language:python | train |
dj-stripe/dj-stripe | python | py | manage.py | https://github.com/dj-stripe/dj-stripe/blob/4a011bbd1e0bf59594a7202c951c4d421bda0793/manage.py | #!/usr/bin/env python
import os
import sys
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Run `uv sync` to set up a virtual environment first."
) from exc
def main():
os.environ.setdefault("DJANGO_SETTIN... | 6fcff0aad0d28fe520c9d0d74791f6f19faec72ca182328a068d8a2e1991d11f | 0 | 2026-08-28T13:56:26.943911 | {
"original_length": 430,
"comment_ratio": 0.07100000000000001,
"ngram_diversity": 0.8300000000000001,
"keyword_count": 5,
"syntax_valid": true
} | false | stars:1000..3000 language:python | train |
dj-stripe/dj-stripe | python | py | djstripe/apps.py | https://github.com/dj-stripe/dj-stripe/blob/4a011bbd1e0bf59594a7202c951c4d421bda0793/djstripe/apps.py | """
dj-stripe - Django + Stripe Made Easy
"""
from importlib.metadata import version
from django.apps import AppConfig
__version__ = version("dj-stripe")
class DjstripeAppConfig(AppConfig):
"""
An AppConfig for dj-stripe which loads system checks
and event handlers once Django is ready.
"""
na... | 44e2995856b6f48639cdced373ff7514c31b3e0de65251d04b357f7d5df0a32d | 0 | 2026-08-28T13:56:27.103007 | {
"original_length": 959,
"comment_ratio": 0.138,
"ngram_diversity": 0.753,
"keyword_count": 5,
"syntax_valid": true
} | false | stars:1000..3000 language:python | train |
Snowflake-Labs/pg_lake | python | py | tools/generate_duckdb_kwlist.py | https://github.com/Snowflake-Labs/pg_lake/blob/e4e17c8610f6531c9c25b812b313612acebdd41b/tools/generate_duckdb_kwlist.py | #!/usr/bin/env python3
"""
Generate pg_lake_engine/src/pgduck/duckdb_kwlist.h from the vendored DuckDB
keyword list.
The DuckDB parser uses a fork of the PostgreSQL keyword list, extended with
DuckDB-specific reserved words (PIVOT, LAMBDA, QUALIFY, etc.) that PostgreSQL
does not know about. Without this list, quote_i... | f1b7ed505d712901b42117c7208b9baa7fd54a88300907d53f592b7e8dc2fa1f | 0 | 2026-08-28T13:57:30.615310 | {
"original_length": 6114,
"comment_ratio": 0.038,
"ngram_diversity": 0.613,
"keyword_count": 9,
"syntax_valid": true
} | false | stars:1000..3000 language:python | train |
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