airev-ae/Qwen-0.8B-AgentJSON
Text Generation • 0.8B • Updated • 691 • 1
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
rejected: string
chosen: string
prompt: string
to
{'prompt': Value('string'), 'chosen': Value('string'), 'rejected': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, 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 120, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
rejected: string
chosen: string
prompt: string
to
{'prompt': Value('string'), 'chosen': Value('string'), 'rejected': 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 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1922, 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.
prompt string | chosen string | rejected string |
|---|---|---|
YOUR TASK IS TO GENERATE A JSON STRICTLY and CORRECTLY
[
{
"description": "Generate an Image",
"endpoint": "/v1/images/generations",
"identifier": "rest_api",
"method": "POST",
"name": "generateImage",
"parameters": [
{
"description": "The format in which the generated images are... | {"plugins": [{"pluginId": "plugin-1737288066", "name": "generateImage", "description": "Generate an image of a modern hospital environment showcasing doctors consulting patients, advanced medical equipment, and a reassuring atmosphere reflecting trust, expertise, and high-quality healthcare services.", "api_request_par... | {"plugans": [{"pluginId": "plug-1737288066", "name": "generateImag", "descript": 234, "api_request_parameters": "Create a detailed, realistic depiction of Microsoft's latest AI advancements with high-tech laboratory holographic displays, digital panels, cloud computing, advanced security, and semantic file indexing.", ... |
YOUR TASK IS TO GENERATE A JSON STRICTLY and CORRECTLY
[
{
"description": "This endpoint: - Fetches session recordings from PostHog - Updates user data in MongoDB - Classifies users as Dormant, Returning, etc. - Sends SendGrid templated emails based on user lifecycle\n",
"endpoint": "/sync",
"identifier":... | {"plugins": [{"pluginId": "plugin-1747402807", "name": "syncUserSessions", "description": "Fetches session recordings from PostHog, updates user data, classifies users and sends lifecycle emails", "api_request_parameters": {}, "all_parameters_hydrated": true, "dependencies": [], "identifier": "rest_api"}]} | {"plugins": [{"pluginId": 1747402807, "nae": "syncUserSesions", "description": ["Fetches session recodings from PostHog", "updates user data in MongoDB"], "api_request_parameters": {}, "all_parameters_hydrated": "true" "dependencies": null, "identifier": "rest_api"}] |
YOUR TASK IS TO GENERATE A JSON STRICTLY and CORRECTLY
[
{
"description": "This endpoint: - Fetches session recordings from PostHog - Updates user data in MongoDB - Classifies users as Dormant, Returning, etc. - Sends SendGrid templated emails based on user lifecycle\n",
"endpoint": "/sync",
"identifier":... | {"plugins": [{"pluginId": "plugin-1747402807", "name": "syncUserSessions", "description": "Fetches session recordings from PostHog, updates user data, classifies lifecycle stage, and sends SendGrid-templated lifecycle emails.", "api_request_parameters": {}, "all_parameters_hydrated": true, "dependencies": [], "identifi... | {"plugins": [{"pluginId": 1747402807, "nae": "syncUserSesions", "description": ["Fetches session recodings from PostHog", "updates user data in MongoDB"], "api_request_parameters": {}, "all_parameters_hydrated": "true" "dependencies": null, "identifier": "rest_api"}] |
YOUR TASK IS TO GENERATE A JSON STRICTLY and CORRECTLY
[
{
"description": "Get Stock Market News for a given stock symbol",
"endpoint": "/stock-news",
"identifier": "rest_api",
"method": "GET",
"name": "getStockNews",
"parameters": [
{
"description": "Specify the symbol of the st... | {"plugins": [{"pluginId": "plugin-1716455998", "name": "getStockNews", "description": "Get the latest stock news for a given stock symbol.", "api_request_parameters": {"symbol": "AAPL"}, "all_parameters_hydrated": true, "dependencies": [], "identifier": "rest_api"}, {"pluginId": "plugin-1716455998", "name": "getStockNe... | {"plugins": [ {"pluginId": "plugin-1716455998", "namee": "getStockNews", "description": "Get Stock Market News for a given stock symbol", "all_parameters_hydrated": true, "dependencies": null, "identifier": "rest_api"}, {"pluginId": "plugin-1716429542", "name": "getPrice", "description": "Get the current price of a sto... |
YOUR TASK IS TO GENERATE A JSON STRICTLY and CORRECTLY
[
{
"description": "This endpoint allows querying and returns relevant sources and images, ensuring that both content and image URLs are included in the response.",
"endpoint": "/v2/serper",
"identifier": "rest_api",
"method": "POST",
"name": ... | {"plugins": [{"pluginId": "plugin-1722260873", "name": "perplexity", "description": "This endpoint allows querying and returns relevant sources and images from various publications.", "api_request_parameters": {"message": "positive blockchain news update from Middle East 2024/2025 highlighting advances in blockchain te... | {"pluginss": [{"pluginId": "plugin-1722260873", "plugin_name": "perplxity", "description": "Query relevant sources and images on edge AI advancements with clear citations and timestamps.", "apirequestparameters": {"message": 424242}, "dependencies": "none", "identifier": 34}]} |
## TASK: Generate a precise, **multi-step execution plan** using the available plugins.
---
### **STRICT GUIDELINES** (Follow these exactly):
1. **Your plan MUST contain more than one step** – avoid single-step responses.
2. **Each step must use one or more of the available plugins**; no additional steps all... | {"objective": "Identify, research, contact, and track outreach to up to 4 new key personnel (CEO, CTO, Head of Product, AI/ML Lead) in UAE-based AI companies.", "steps": [{"user_query": "Find AI companies based in the UAE using keywords 'AI', 'artificial intelligence', 'machine learning', 'tools', 'models', 'infrastruc... | {"objective": "Gather detailed information about Perplexity AI and its key personnel from LinkedIn.", "steps": [{"user_queryy": "Fetch the LinkedIn company profile URL for Perplexity AI.", "depends": null, "plugins": ["getLinkedInCompanies"]}, {"user_query": "Retrieve detailed company information from LinkedIn using th... |
## TASK: Generate a precise, **multi-step execution plan** using the available plugins.
---
### **STRICT GUIDELINES** (Follow these exactly):
1. **Your plan MUST contain more than one step** – avoid single-step responses.
2. **Each step must use one or more of the available plugins**; no additional steps all... | {"objective": "Create and publish a LinkedIn post highlighting CircleJCRM's role in AI compliance, anchored by a current business/tech headline.", "steps": [{"user_query": "Fetch the latest high-impact business/tech headline, such as today's update on global AI regulations.", "assistant_query": "", "depends": [], "plug... | {"objective": "Gather detailed information about Perplexity AI and its key personnel from LinkedIn.", "steps": [{"user_queryy": "Fetch the LinkedIn company profile URL for Perplexity AI.", "depends": null, "plugins": ["getLinkedInCompanies"]}, {"user_query": "Retrieve detailed company information from LinkedIn using th... |
YOUR TASK IS TO GENERATE A JSON STRICTLY and CORRECTLY
[
{
"description": "Queries the web in real-time using GPT-4o. \nThe first step is to hit OpenAI's chat completions endpoint to preprocess the query.\n",
"endpoint": "/chat/completions",
"identifier": "rest_api",
"method": "POST",
"name": "pe... | {"plugins": [{"pluginId": "", "name": "llm_knowledge", "description": "Generate a detailed report for buy/sell/hold recommendation for TCS, Tech Mahindra, and Wipro by compiling FII investment data and all relevant ratio data (including PE ratio). The report should integrate available FII investment insights and compar... | {"pluginz": [{"pluginId": "plugin-1741816953", "name": "performSearch", "description": "Queries the web in real time using GPT-4o to fetch current news headlines and updates", "api_parameters": {"messages": [{"content": 42002, "role": "user"}], "model": 2025}, "all_parameters_hydrated": false, "id": "rest_api"}]} |
## TASK: Generate a precise, **multi-step execution plan** using the available plugins.
---
### **STRICT GUIDELINES** (Follow these exactly):
1. **Your plan MUST contain more than one step** – avoid single-step responses.
2. **Each step must use one or more of the available plugins**; no additional steps all... | {"objective": "Retrieve and present five positive business and technology news updates from the Middle East for 2025.", "steps": [{"user_query": "Use the perplexity plugin to find 5 positive business and technology news updates from the Middle East for 2025, including headlines, short summaries, and source links.", "as... | {"objective": "Gather detailed information about Perplexity AI and its key personnel from LinkedIn.", "steps": [{"user_queryy": "Fetch the LinkedIn company profile URL for Perplexity AI.", "depends": null, "plugins": ["getLinkedInCompanies"]}, {"user_query": "Retrieve detailed company information from LinkedIn using th... |
## TASK: Generate a precise, **multi-step execution plan** using the available plugins.
---
### **STRICT GUIDELINES** (Follow these exactly):
1. **Your plan MUST contain more than one step** – avoid single-step responses.
2. **Each step must use one or more of the available plugins**; no additional steps all... | {"objective": "Find positive news updates from the Middle East in various sectors for 2024 or 2025.", "steps": [{"user_query": "Find a positive sports news update from the Middle East in 2024 or 2025.", "assistant_query": "", "depends": [], "plugins": ["perplexity"]}, {"user_query": "Find a positive business news updat... | {"objective": "Gather detailed information about Perplexity AI and its key personnel from LinkedIn.", "steps": [{"user_queryy": "Fetch the LinkedIn company profile URL for Perplexity AI.", "depends": null, "plugins": ["getLinkedInCompanies"]}, {"user_query": "Retrieve detailed company information from LinkedIn using th... |
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