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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: 'str' object is not a mapping
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 246, in _generate_tables
pa_table = paj.read_json(
^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/init_config/patients/PAT-001/medical_history/family_history) changed from array to string in row 1
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
for item in generator(*args, **kwargs):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 108, in json_encode_fields_in_json_lines
examples = [json_encode_field(example, json_field_path) for example in examples]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 34, in json_encode_field
return {**example, field: json_encode_field(example.get(field), json_field_path)}
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 34, in json_encode_field
return {**example, field: json_encode_field(example.get(field), json_field_path)}
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 34, in json_encode_field
return {**example, field: json_encode_field(example.get(field), json_field_path)}
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
[Previous line repeated 2 more times]
TypeError: 'str' object is not a mapping
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 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, 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.
task_info dict | step_detail dict | env_code string |
|---|---|---|
{
"env_id": "env_19_sft",
"task_id": "env_19_sft-task_13",
"task": "Correct recent PM2.5 observations for the Riverdale monitoring station, recompute its daily AQI record, place the station into maintenance mode, and update the city‑wide AQI aggregation accordingly. \n\n1. Find all PM2.5 observations from the Ri... | {
"step": 20,
"action": {
"name": "compute_and_store_aqi_record",
"arguments": "{\"station_id\":\"ST001\",\"date\":\"2024-04-19\"}"
},
"observation": {
"type": "tool",
"content": "{'success': False, 'error': \"No observations found for station 'ST001' on 2024-04-19.\"}"
},
"config_before": "... | from typing import Dict, TypedDict
from datetime import datetime
import math
from datetime import date
from datetime import datetime, timedelta
import time
class LocationInfo(TypedDict):
city: str
coordinates: str # e.g., "lat,lon"
class MonitoringStation(TypedDict):
station_id: str
location: Locat... |
{
"env_id": "env_139_sft",
"task_id": "env_139_sft-task_3",
"task": "The fund manager for the mutual fund currently identified by symbol **GLOBE** (security ID **MF001**) requires the following updates:\n\n1. Verify that the ticker **WLD** is not already used for any security on the **NYSE** market; if it is free... | {
"step": 1,
"action": {
"name": "get_security_by_symbol",
"arguments": "{\"symbol\":\"WLD\",\"market\":\"NYSE\"}"
},
"observation": {
"type": "tool",
"content": "{'success': False, 'error': 'Security not found'}"
},
"config_before": "{\"securities\":{\"MF001\":{\"security_id\":\"MF001\",\"s... | from typing import Dict, List, Optional, TypedDict
from datetime import datetime
class SecurityInfo(TypedDict):
security_id: str
symbol: str
name: str
type: str # e.g., "stock", "bond", "mutual fund", "ETF"
issuer: str
market: str
currency: str
class MutualFundInfo(SecurityInfo):
ex... |
{
"env_id": "env_104_sft",
"task_id": "env_104_sft-task_3",
"task": "For user **U001**, design and implement a transition to a new balanced fitness plan as follows:\n\n1. Create a new workout with ID **W006**, named **“Interval Run”**, type **cardio**, duration **45 minutes**, intensity **moderate**, and calories... | {
"step": 15,
"action": {
"name": "schedule_workout",
"arguments": "{\"schedule_id\":\"S1002\",\"routine_id\":\"R005\",\"workout_id\":\"W004\",\"date\":\"2024-09-17\",\"time\":\"07:00\",\"status\":\"pending\",\"allow_past\":false}"
},
"observation": {
"type": "tool",
"content": "{'success': Fals... | from typing import Dict, List, TypedDict
from datetime import datetime
class WorkoutInfo(TypedDict):
workout_id: str
name: str
type: str # e.g., cardio, strength
duration_minutes: int
intensity_level: str # must be: low, moderate, high
calories_burned: float
class RoutineInfo(TypedDict):
... |
{"env_id":"env_55_sft","task_id":"env_55_sft-task_8","task":"1. Verify that user **USR004** has the (...TRUNCATED) | {"step":13,"action":{"name":"add_platform_target","arguments":"{\"post_id\":\"post_5\",\"platform_id(...TRUNCATED) | "from typing import Dict, List, TypedDict\nimport time\nfrom typing import Dict\nfrom typing import (...TRUNCATED) |
{"env_id":"env_77_sft","task_id":"env_77_sft-task_5","task":"Prepare the us‑east‑1 region for an(...TRUNCATED) | {"step":15,"action":{"name":"scale_server_memory","arguments":"{\"ver_id\":\"SRV-002\",\"delta_memor(...TRUNCATED) | "from typing import Dict, List, TypedDict\nfrom typing import List, Dict, Any\nfrom time import time(...TRUNCATED) |
{"env_id":"env_150_rl","task_id":"env_150_rl-task_2","task":"For user USR-ELIANE (Eliane DeSouza), h(...TRUNCATED) | {"step":27,"action":{"name":"update_delivery_details","arguments":"{\"order_id\":\"14a1346b-b7fa-453(...TRUNCATED) | "from typing import Dict, List, TypedDict\nimport uuid\nfrom datetime import datetime\n\n\n\nclass M(...TRUNCATED) |
{"env_id":"env_181_rl","task_id":"env_181_rl-task_2","task":"Set up a Traditional Chinese Medicine ((...TRUNCATED) | {"step":1,"action":{"name":"get_folder_by_name","arguments":"{\"name\":\"Traditional Chinese Medicin(...TRUNCATED) | "from typing import Dict, List, Optional, TypedDict\nimport re\nfrom datetime import datetime\nimpor(...TRUNCATED) |
{"env_id":"env_168_rl","task_id":"env_168_rl-task_1","task":"Perform a dispatch update and post-inci(...TRUNCATED) | {"step":7,"action":{"name":"modify_incident_details","arguments":"{\"incident_id\":\"INC1005\",\"loc(...TRUNCATED) | "from typing import Dict, TypedDict, Optional\n\n\n\nclass IncidentInfo(TypedDict):\n incident_id(...TRUNCATED) |
{"env_id":"env_61_sft","task_id":"env_61_sft-task_16","task":"1. Verify that ACC001 has enough remai(...TRUNCATED) | {"step":7,"action":{"name":"create_vpc","arguments":"{\"vpc_id\":\"vpc-004\",\"cidr_block\":\"10.2.0(...TRUNCATED) | "from typing import Dict, List, TypedDict\nimport hashlib\nimport uuid\nfrom datetime import datetim(...TRUNCATED) |
{"env_id":"env_31_sft","task_id":"env_31_sft-task_22","task":"Authenticate as player “AriaStorm”(...TRUNCATED) | {"step":12,"action":{"name":"unlock_achievement","arguments":"{\"achievement_id\":\"ACH002\"}"},"obs(...TRUNCATED) | "from typing import Dict, List, TypedDict, Optional\nfrom datetime import datetime\n\n\n\nclass Play(...TRUNCATED) |
End of preview.
9.choice_final_combined-167env.json is the Benchmark dataset, others are the SFT train data. For specific usage instructions, please refer to the Github repository
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