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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
id: string
messages: list<item: struct<content: string, role: string>>
child 0, item: struct<content: string, role: string>
child 0, content: string
child 1, role: string
mix_id: string
mixed_source: string
source: string
source_split: string
target_call: struct<arguments: string, name: string>
child 0, arguments: string
child 1, name: string
target_text: string
tools: list<item: struct<function: struct<description: string, name: string, parameters: struct<properties: (... 69 chars omitted)
child 0, item: struct<function: struct<description: string, name: string, parameters: struct<properties: string, re (... 57 chars omitted)
child 0, function: struct<description: string, name: string, parameters: struct<properties: string, required: list<item (... 25 chars omitted)
child 0, description: string
child 1, name: string
child 2, parameters: struct<properties: string, required: list<item: string>, type: string>
child 0, properties: string
child 1, required: list<item: string>
child 0, item: string
child 2, type: string
child 1, type: string
origin: string
repair_tags: list<item: string>
child 0, item: string
selection_features: struct<copied_value_count: int64, hot_keys: list<item: string>>
child 0, copied_value_count: int64
child 1, hot_keys: list<item: string>
child 0, item: string
to
{'id': Value('string'), 'messages': List({'content': Value('string'), 'role': Value('string')}), 'mix_id': Value('string'), 'origin': Value('string'), 'source': Value('string'), 'target_call': {'arguments': Json(decode=True), 'name': Value('string')}, 'target_text': Value('string'), 'tools': List({'function': {'description': Value('string'), 'name': Value('string'), 'parameters': {'properties': Json(decode=True), 'required': List(Value('string')), 'type': Value('string')}}, 'type': Value('string')}), 'source_split': 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 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, 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 128, 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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
id: string
messages: list<item: struct<content: string, role: string>>
child 0, item: struct<content: string, role: string>
child 0, content: string
child 1, role: string
mix_id: string
mixed_source: string
source: string
source_split: string
target_call: struct<arguments: string, name: string>
child 0, arguments: string
child 1, name: string
target_text: string
tools: list<item: struct<function: struct<description: string, name: string, parameters: struct<properties: (... 69 chars omitted)
child 0, item: struct<function: struct<description: string, name: string, parameters: struct<properties: string, re (... 57 chars omitted)
child 0, function: struct<description: string, name: string, parameters: struct<properties: string, required: list<item (... 25 chars omitted)
child 0, description: string
child 1, name: string
child 2, parameters: struct<properties: string, required: list<item: string>, type: string>
child 0, properties: string
child 1, required: list<item: string>
child 0, item: string
child 2, type: string
child 1, type: string
origin: string
repair_tags: list<item: string>
child 0, item: string
selection_features: struct<copied_value_count: int64, hot_keys: list<item: string>>
child 0, copied_value_count: int64
child 1, hot_keys: list<item: string>
child 0, item: string
to
{'id': Value('string'), 'messages': List({'content': Value('string'), 'role': Value('string')}), 'mix_id': Value('string'), 'origin': Value('string'), 'source': Value('string'), 'target_call': {'arguments': Json(decode=True), 'name': Value('string')}, 'target_text': Value('string'), 'tools': List({'function': {'description': Value('string'), 'name': Value('string'), 'parameters': {'properties': Json(decode=True), 'required': List(Value('string')), 'type': Value('string')}}, 'type': Value('string')}), 'source_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 1348, 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 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
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.
id string | messages list | mix_id string | origin string | source string | target_call dict | target_text string | tools list | source_split string |
|---|---|---|---|---|---|---|---|---|
argilla_apigen_53560 | [
{
"content": "I want to see a list of webcams that are either high-definition or have live streams, and I'd like to see their categories and locations in French.",
"role": "user"
}
] | bfcl_strict_10k_00000 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"lang": "fr",
"property": "hd,live",
"show": "categories,location"
},
"name": "webcams_list_property_property_property"
} | <tool_call>
{"name": "webcams_list_property_property_property", "arguments": {"property": "hd,live", "lang": "fr", "show": "categories,location"}}
</tool_call> | [
{
"function": {
"description": "Retrieves a list of webcams based on the specified property.",
"name": "webcams_list_property_property_property",
"parameters": {
"properties": {
"lang": {
"default": "en",
"description": "Localizes the results to the sp... | null |
argilla_apigen_37897 | [
{
"content": "Fetch the over/under odds for the next college basketball games.",
"role": "user"
}
] | bfcl_strict_10k_00001 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"category": "2",
"sport": "basketball-ncaab"
},
"name": "game_odds_by_category_schedule"
} | <tool_call>
{"name": "game_odds_by_category_schedule", "arguments": {"category": "2", "sport": "basketball-ncaab"}}
</tool_call> | [
{
"function": {
"description": "Fetches the schedule of game odds for a given sport and category from the sportsbook-odds API.",
"name": "game_odds_by_category_schedule",
"parameters": {
"properties": {
"category": {
"default": "0",
"description": "The... | null |
graph_syn_datasets_102095 | [
{
"content": "I’m trying to make sure the word ‘resilient’ feels authentic in my story—could you explain what it means and how it’s typically used?",
"role": "user"
}
] | bfcl_strict_10k_00002 | null | toolmind_bfcl_strict | {
"arguments": {
"word": "resilient"
},
"name": "word_infos"
} | <tool_call>
{"name": "word_infos", "arguments": {"word": "resilient"}}
</tool_call> | [
{
"function": {
"description": "Fetch detailed information about a word from the Master Dictionary API using the provided RapidAPI key.",
"name": "word_infos",
"parameters": {
"properties": {
"word": {
"default": "hello",
"description": "The word to fe... | graph_syn_datasets |
graph_syn_datasets_52225 | [
{
"content": "I need you to check the combo box fields in the 'NewEmployeeForm.pdf' from the 'HR_Forms' folder and list each field's name, options, and selected values for me.",
"role": "user"
}
] | bfcl_strict_10k_00003 | null | toolmind_bfcl_strict | {
"arguments": {
"folder": "HR_Forms",
"name": "NewEmployeeForm.pdf"
},
"name": "GetDocumentComboBoxFields"
} | <tool_call>
{"name": "GetDocumentComboBoxFields", "arguments": {"name": "NewEmployeeForm.pdf", "folder": "HR_Forms"}}
</tool_call> | [
{
"function": {
"description": "Retrieve the combo box fields from a PDF document.",
"name": "GetDocumentComboBoxFields",
"parameters": {
"properties": {
"folder": {
"description": "The folder where the PDF document is located.",
"type": "string"
... | graph_syn_datasets |
argilla_apigen_55993 | [
{
"content": "I want to see what's popular on Spotify in the UK. Can you help me with that?",
"role": "user"
}
] | bfcl_strict_10k_00004 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"region": "GB"
},
"name": "get_home_page_overview"
} | <tool_call>
{"name": "get_home_page_overview", "arguments": {"region": "GB"}}
</tool_call> | [
{
"function": {
"description": "Fetches trending information displayed on the Spotify home page as an incognito visitor.",
"name": "get_home_page_overview",
"parameters": {
"properties": {
"region": {
"default": "",
"description": "Region code (ISO 316... | null |
open_datasets_73856 | [
{
"content": "I need to add a new contact to my address book. The name is John Doe, phone number is 1234567890 and email is johndoe@example.com.",
"role": "user"
}
] | bfcl_strict_10k_00005 | null | toolmind_bfcl_strict | {
"arguments": {
"email": "johndoe@example.com",
"name": "John Doe",
"phone": "1234567890"
},
"name": "create_contact"
} | <tool_call>
{"name": "create_contact", "arguments": {"name": "John Doe", "phone": "1234567890", "email": "johndoe@example.com"}}
</tool_call> | [
{
"function": {
"description": "Create a new contact in the address book",
"name": "create_contact",
"parameters": {
"properties": {
"email": {
"description": "The email address of the contact",
"type": "string"
},
"name": {
... | open_datasets |
open_datasets_171278 | [
{
"content": "If I invest $5000 at an annual interest rate of 3% for 10 years, how much will I have?",
"role": "user"
}
] | bfcl_strict_10k_00006 | null | toolmind_bfcl_strict | {
"arguments": {
"initial_amount": 5000,
"interest_rate": 0.03,
"num_years": 10
},
"name": "calculate_investment_return"
} | <tool_call>
{"name": "calculate_investment_return", "arguments": {"initial_amount": 5000, "interest_rate": 0.03, "num_years": 10}}
</tool_call> | [
{
"function": {
"description": "Calculates the return on investment based on the initial deposit amount, annual interest rate, and investment period.",
"name": "calculate_investment_return",
"parameters": {
"properties": {
"initial_amount": {
"description": "The i... | open_datasets |
argilla_apigen_4107 | [
{
"content": "How many posts can be generated with a size of 20?",
"role": "user"
}
] | bfcl_strict_10k_00007 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"size": 20
},
"name": "random_post"
} | <tool_call>
{"name": "random_post", "arguments": {"size": 20}}
</tool_call> | [
{
"function": {
"description": "Generates a list of fake posts by calling an external API.",
"name": "random_post",
"parameters": {
"properties": {
"size": {
"default": "5",
"description": "The number of fake posts to generate. Defaults to 5.",
... | null |
graph_syn_datasets_79412 | [
{
"content": "Hey, do you have the latest streak odds for the ice hockey game with ID 12345.67? I'm trying to figure out the chances of either team extending a win or goal streak.",
"role": "user"
}
] | bfcl_strict_10k_00008 | null | toolmind_bfcl_strict | {
"arguments": {
"id": 12345.67
},
"name": "MatchStreakOdds"
} | <tool_call>
{"name": "MatchStreakOdds", "arguments": {"id": 12345.67}}
</tool_call> | [
{
"function": {
"description": "Get the streak odds for a specific Ice Hockey match using the match ID.",
"name": "MatchStreakOdds",
"parameters": {
"properties": {
"id": {
"description": "The ID of the match for which you want to retrieve match streak odds.",
... | graph_syn_datasets |
argilla_apigen_43517 | [
{
"content": "Find the longest word in a list containing words of the same length.",
"role": "user"
}
] | bfcl_strict_10k_00009 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"words": [
"cat",
"dog",
"pig",
"rat"
]
},
"name": "find_longest_word"
} | <tool_call>
{"name": "find_longest_word", "arguments": {"words": ["cat", "dog", "pig", "rat"]}}
</tool_call> | [
{
"function": {
"description": "Finds the longest word in a list of words.",
"name": "find_longest_word",
"parameters": {
"properties": {
"words": {
"description": "A list of words.",
"items": {
"type": "string"
},
... | null |
argilla_apigen_30764 | [
{
"content": "I'm looking for details about the advertisement with the unique ID 12345.",
"role": "user"
}
] | bfcl_strict_10k_00010 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"unique_id": 12345
},
"name": "get_annonce"
} | <tool_call>
{"name": "get_annonce", "arguments": {"unique_id": 12345}}
</tool_call> | [
{
"function": {
"description": "Fetches advertisement details from the FluxImmo API based on a unique identifier.",
"name": "get_annonce",
"parameters": {
"properties": {
"unique_id": {
"default": "",
"description": "The unique identifier of the advert... | null |
open_datasets_178048 | [
{
"content": "Retrieve the next 10 posts after the first 10 from user 'user789's playlist 'playlist012'.",
"role": "user"
}
] | bfcl_strict_10k_00011 | null | toolmind_bfcl_strict | {
"arguments": {
"offset": 10,
"playlist_id": "playlist012",
"user_id": "user789"
},
"name": "playlist_posts"
} | <tool_call>
{"name": "playlist_posts", "arguments": {"user_id": "user789", "playlist_id": "playlist012", "offset": 10}}
</tool_call> | [
{
"function": {
"description": "Fetch posts from TikTok for a specific user and playlist.",
"name": "playlist_posts",
"parameters": {
"properties": {
"offset": {
"default": "0",
"description": "The offset for pagination. Defaults to 0.",
"t... | open_datasets |
open_datasets_74907 | [
{
"content": "I need to calculate my monthly loan payment. I borrowed $50000 at an annual interest rate of 5% and the loan term is 60 months.",
"role": "user"
}
] | bfcl_strict_10k_00012 | null | toolmind_bfcl_strict | {
"arguments": {
"interest_rate": 5,
"loan_term": 60,
"principal": 50000
},
"name": "calculate_loan_payment"
} | <tool_call>
{"name": "calculate_loan_payment", "arguments": {"principal": 50000, "interest_rate": 5, "loan_term": 60}}
</tool_call> | [
{
"function": {
"description": "Calculate the monthly payment for a loan",
"name": "calculate_loan_payment",
"parameters": {
"properties": {
"interest_rate": {
"description": "The annual interest rate of the loan",
"type": "number"
},
... | open_datasets |
open_datasets_66725 | [
{
"content": "What economic calendar news was available between December 25, 2022, and January 10, 2023, in JSON format?",
"role": "user"
}
] | bfcl_strict_10k_00013 | null | toolmind_bfcl_strict | {
"arguments": {
"content_type": "application/json",
"time_finish": "2023-01-10 23:59:59+00:00",
"time_start": "2022-12-25 00:00:00+00:00"
},
"name": "get_economic_calendar_news_over_a_period_of_time"
} | <tool_call>
{"name": "get_economic_calendar_news_over_a_period_of_time", "arguments": {"content_type": "application/json", "time_start": "2022-12-25 00:00:00+00:00", "time_finish": "2023-01-10 23:59:59+00:00"}}
</tool_call> | [
{
"function": {
"description": "Fetches economic calendar news within a specified time period.",
"name": "get_economic_calendar_news_over_a_period_of_time",
"parameters": {
"properties": {
"content_type": {
"default": "application/json",
"description":... | open_datasets |
graph_syn_datasets_7829 | [
{
"content": "I need to schedule the next maintenance for my XCR-5000 crusher—can you confirm the next service date based on the last maintenance on October 15, 2023?",
"role": "user"
}
] | bfcl_strict_10k_00014 | null | toolmind_bfcl_strict | {
"arguments": {
"crusher_model": "XCR-5000",
"last_maintenance_date": "2023-10-15"
},
"name": "crusher.get_maintenance_schedule"
} | <tool_call>
{"name": "crusher.get_maintenance_schedule", "arguments": {"crusher_model": "XCR-5000", "last_maintenance_date": "2023-10-15"}}
</tool_call> | [
{
"function": {
"description": "Retrieve the maintenance schedule of a specified industrial crusher for particle size reduction.",
"name": "crusher.get_maintenance_schedule",
"parameters": {
"properties": {
"crusher_model": {
"description": "The model of the indus... | graph_syn_datasets |
open_datasets_51816 | [
{
"content": "I need information on the most popular topics in media studies. Can you provide details on the latest trends and research areas?",
"role": "user"
}
] | bfcl_strict_10k_00015 | null | toolmind_bfcl_strict | {
"arguments": {},
"name": "getMediaStudies"
} | <tool_call>
{"name": "getMediaStudies", "arguments": {}}
</tool_call> | [
{
"function": {
"description": "Retrieve information on media studies",
"name": "getMediaStudies",
"parameters": {
"properties": {},
"required": [],
"type": "object"
}
},
"type": "function"
}
] | open_datasets |
open_datasets_140766 | [
{
"content": "Can you shorten this TikTok URL using an iPhone device? The URL is https://www.tiktok.com/@user123/video/11223344556677889900.",
"role": "user"
}
] | bfcl_strict_10k_00016 | null | toolmind_bfcl_strict | {
"arguments": {
"device": "iPhone",
"url": "https://www.tiktok.com/@user123/video/11223344556677889900"
},
"name": "tiktok_url_shortener"
} | <tool_call>
{"name": "tiktok_url_shortener", "arguments": {"url": "https://www.tiktok.com/@user123/video/11223344556677889900", "device": "iPhone"}}
</tool_call> | [
{
"function": {
"description": "This function shortens a TikTok URL using the ScrapTik API and allows for optional specification of device and proxy.",
"name": "tiktok_url_shortener",
"parameters": {
"properties": {
"device": {
"default": "",
"descript... | open_datasets |
argilla_apigen_37823 | [
{
"content": "If the length of an aluminum wire is 40 meters and its cross-sectional area is 0.000001 square meters, what is its resistance?",
"role": "user"
}
] | bfcl_strict_10k_00017 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"area_sq_m": 0.000001,
"length_m": 40,
"material": "aluminum"
},
"name": "wire_resistance"
} | <tool_call>
{"name": "wire_resistance", "arguments": {"length_m": 40, "area_sq_m": 1e-06, "material": "aluminum"}}
</tool_call> | [
{
"function": {
"description": "Calculates the resistance of a wire based on its length, cross-sectional area, and material resistivity.",
"name": "wire_resistance",
"parameters": {
"properties": {
"area_sq_m": {
"default": "copper",
"description": "Th... | null |
open_datasets_183973 | [
{
"content": "What are the details for the video '123456789' in Germany?",
"role": "user"
}
] | bfcl_strict_10k_00018 | null | toolmind_bfcl_strict | {
"arguments": {
"geo": "DE",
"is_id": "123456789"
},
"name": "get_video_info"
} | <tool_call>
{"name": "get_video_info", "arguments": {"is_id": "123456789", "geo": "DE"}}
</tool_call> | [
{
"function": {
"description": "Gets video download links and other relevant information in JSON format for a given YouTube video ID.",
"name": "get_video_info",
"parameters": {
"properties": {
"geo": {
"default": "",
"description": "The country code i... | open_datasets |
open_datasets_187167 | [
{
"content": "Retrieve detailed profile and demographic data for ZIP code 90210.",
"role": "user"
}
] | bfcl_strict_10k_00019 | null | toolmind_bfcl_strict | {
"arguments": {
"zip": "90210"
},
"name": "get_zip_code_detail"
} | <tool_call>
{"name": "get_zip_code_detail", "arguments": {"zip": "90210"}}
</tool_call> | [
{
"function": {
"description": "Retrieve detailed profile and demographic data for a provided ZIP code.",
"name": "get_zip_code_detail",
"parameters": {
"properties": {
"zip": {
"default": "10001",
"description": "The ZIP code for which to retrieve det... | open_datasets |
open_datasets_114378 | [
{
"content": "Spelling mistake: Please find the ZIP codes for San Bernandino county.",
"role": "user"
}
] | bfcl_strict_10k_00020 | null | toolmind_bfcl_strict | {
"arguments": {
"county": "San Bernardino"
},
"name": "getzipcodebycounty"
} | <tool_call>
{"name": "getzipcodebycounty", "arguments": {"county": "San Bernardino"}}
</tool_call> | [
{
"function": {
"description": "Fetches the ZIP code information for a given county using the Zillow API.",
"name": "getzipcodebycounty",
"parameters": {
"properties": {
"county": {
"default": "Hampshire",
"description": "The name of the county for whi... | open_datasets |
graph_syn_datasets_81194 | [
{
"content": "I'm trying to locate the 'database-config.xml' file in the 'com/example/config' package to set up my app's database connection, but I'm not sure how to determine its absolute path.",
"role": "user"
}
] | bfcl_strict_10k_00021 | null | toolmind_bfcl_strict | {
"arguments": {
"resourceName": "com/example/config/database-config.xml",
"resourceType": "xml"
},
"name": "javaResourceLocator.locate"
} | <tool_call>
{"name": "javaResourceLocator.locate", "arguments": {"resourceName": "com/example/config/database-config.xml", "resourceType": "xml"}}
</tool_call> | [
{
"function": {
"description": "Locates a resource in the Java classpath, returning its absolute path if it exists.",
"name": "javaResourceLocator.locate",
"parameters": {
"properties": {
"resourceName": {
"description": "The name of the resource to locate, such a... | graph_syn_datasets |
argilla_apigen_53976 | [
{
"content": "What are the search results for 'Happiness' using a custom API key 'myKey' with the Uncovered Treasure API?",
"role": "user"
}
] | bfcl_strict_10k_00022 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"searchterm": "Happiness"
},
"name": "search_searchterm"
} | <tool_call>
{"name": "search_searchterm", "arguments": {"searchterm": "Happiness"}}
</tool_call> | [
{
"function": {
"description": "Search for a term using the Uncovered Treasure API and return the results.",
"name": "search_searchterm",
"parameters": {
"properties": {
"callback": {
"default": "",
"description": "An optional JSONP callback parameter ... | null |
open_datasets_144597 | [
{
"content": "What are the crimes reported in the 'Metropolitan Police Force' for the category 'bicycle thefts' in June 2021 that have no specified location?",
"role": "user"
}
] | bfcl_strict_10k_00023 | null | toolmind_bfcl_strict | {
"arguments": {
"category": "bicycle-theft",
"date": "2021-06",
"force": "metropolitan"
},
"name": "crimes_with_no_location"
} | <tool_call>
{"name": "crimes_with_no_location", "arguments": {"force": "metropolitan", "category": "bicycle-theft", "date": "2021-06"}}
</tool_call> | [
{
"function": {
"description": "Fetches a list of crimes from a specified police force on a given date and category, where the crimes have no specified location.",
"name": "crimes_with_no_location",
"parameters": {
"properties": {
"category": {
"default": "all-cri... | open_datasets |
open_datasets_75798 | [
{
"content": "Hi, I need to calculate the area of a rectangle. The length is 5 and the width is 3.",
"role": "user"
}
] | bfcl_strict_10k_00024 | null | toolmind_bfcl_strict | {
"arguments": {
"length": 5,
"width": 3
},
"name": "calculate_rectangle_area"
} | <tool_call>
{"name": "calculate_rectangle_area", "arguments": {"length": 5, "width": 3}}
</tool_call> | [
{
"function": {
"description": "Calculate the area of a rectangle",
"name": "calculate_rectangle_area",
"parameters": {
"properties": {
"length": {
"description": "The length of the rectangle",
"type": "number"
},
"width": {
... | open_datasets |
argilla_apigen_7694 | [
{
"content": "Can you provide a list of the top 20 weather stations across all states in the US?",
"role": "user"
}
] | bfcl_strict_10k_00025 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"limit": 20
},
"name": "stations"
} | <tool_call>
{"name": "stations", "arguments": {"limit": 20}}
</tool_call> | [
{
"function": {
"description": "Retrieves a list of weather stations and their metadata, optionally filtered by parameters such as limit and states. If no parameters are provided, all stations are returned. The function only returns active stations.",
"name": "stations",
"parameters": {
... | null |
open_datasets_88882 | [
{
"content": "I need to add a new contact to my address book. The name is John Doe, phone number is 123-456-7890 and email is johndoe@example.com.",
"role": "user"
}
] | bfcl_strict_10k_00026 | null | toolmind_bfcl_strict | {
"arguments": {
"email": "johndoe@example.com",
"name": "John Doe",
"phone_number": "123-456-7890"
},
"name": "create_contact"
} | <tool_call>
{"name": "create_contact", "arguments": {"name": "John Doe", "phone_number": "123-456-7890", "email": "johndoe@example.com"}}
</tool_call> | [
{
"function": {
"description": "Create a new contact in the address book",
"name": "create_contact",
"parameters": {
"properties": {
"email": {
"description": "The email address of the contact",
"type": "string"
},
"name": {
... | open_datasets |
argilla_apigen_52366 | [
{
"content": "Find the roots of the quadratic equation -2x^2 + 4x - 3 = 0.",
"role": "user"
}
] | bfcl_strict_10k_00027 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"a": -2,
"b": 4,
"c": -3
},
"name": "solve_quadratic"
} | <tool_call>
{"name": "solve_quadratic", "arguments": {"a": -2, "b": 4, "c": -3}}
</tool_call> | [
{
"function": {
"description": "Computes the roots of a quadratic equation given its coefficients.",
"name": "solve_quadratic",
"parameters": {
"properties": {
"a": {
"description": "The coefficient of the quadratic term (x^2).",
"type": "number"
... | null |
open_datasets_122527 | [
{
"content": "Fetch the results for the races held on November 22, 2021.",
"role": "user"
}
] | bfcl_strict_10k_00028 | null | toolmind_bfcl_strict | {
"arguments": {
"date": "2021-11-22"
},
"name": "results"
} | <tool_call>
{"name": "results", "arguments": {"date": "2021-11-22"}}
</tool_call> | [
{
"function": {
"description": "Fetches the race results for a given date from the Greyhound Racing UK API.",
"name": "results",
"parameters": {
"properties": {
"date": {
"default": "2021-06-02",
"description": "The date for which to retrieve race resu... | open_datasets |
open_datasets_180285 | [
{
"content": "Find the longest palindromic substring in the string 'abcdefgfedcba'.",
"role": "user"
}
] | bfcl_strict_10k_00029 | null | toolmind_bfcl_strict | {
"arguments": {
"s": "abcdefgfedcba"
},
"name": "find_longest_palindromic_substring"
} | <tool_call>
{"name": "find_longest_palindromic_substring", "arguments": {"s": "abcdefgfedcba"}}
</tool_call> | [
{
"function": {
"description": "Finds the longest palindromic substring in a string.",
"name": "find_longest_palindromic_substring",
"parameters": {
"properties": {
"s": {
"description": "The input string.",
"type": "string"
}
},
... | open_datasets |
argilla_apigen_40814 | [
{
"content": "Fetch detailed information for the Target store with location ID 5104 and display the store's opening hours, address, and phone number.",
"role": "user"
}
] | bfcl_strict_10k_00030 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"location_id": 5104
},
"name": "stores_get_details"
} | <tool_call>
{"name": "stores_get_details", "arguments": {"location_id": 5104}}
</tool_call> | [
{
"function": {
"description": "Fetch detailed information for a specific store location.",
"name": "stores_get_details",
"parameters": {
"properties": {
"location_id": {
"default": "911",
"description": "The identifier for the store location, often ob... | null |
argilla_apigen_7288 | [
{
"content": "Retrieve the box office information for the movie 'The Avengers'.",
"role": "user"
}
] | bfcl_strict_10k_00031 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"tconst": "tt1330927"
},
"name": "title_v2_get_business"
} | <tool_call>
{"name": "title_v2_get_business", "arguments": {"tconst": "tt1330927"}}
</tool_call> | [
{
"function": {
"description": "Retrieves box office information for a given movie title from the online movie database using the provided API key.",
"name": "title_v2_get_business",
"parameters": {
"properties": {
"tconst": {
"default": "tt0796366",
"... | null |
open_datasets_188180 | [
{
"content": "Retrieve crime data for the ZIP code 10001.",
"role": "user"
}
] | bfcl_strict_10k_00032 | null | toolmind_bfcl_strict | {
"arguments": {
"zip": 10001
},
"name": "get_crime_rates_by_zip"
} | <tool_call>
{"name": "get_crime_rates_by_zip", "arguments": {"zip": 10001}}
</tool_call> | [
{
"function": {
"description": "Retrieve crime statistics for a given ZIP code using the Crime Data by Zipcode API.",
"name": "get_crime_rates_by_zip",
"parameters": {
"properties": {
"zip": {
"default": "94109",
"description": "ZIP code to retrieve cr... | open_datasets |
open_datasets_73320 | [
{
"content": "Hi, can you check the status of my flight? It's BA 283 and the date is 2022-03-15.",
"role": "user"
}
] | bfcl_strict_10k_00033 | null | toolmind_bfcl_strict | {
"arguments": {
"date": "2022-03-15",
"flight_number": "BA 283"
},
"name": "check_flight_status"
} | <tool_call>
{"name": "check_flight_status", "arguments": {"flight_number": "BA 283", "date": "2022-03-15"}}
</tool_call> | [
{
"function": {
"description": "Check the status of a flight",
"name": "check_flight_status",
"parameters": {
"properties": {
"date": {
"description": "The date of the flight (YYYY-MM-DD)",
"type": "string"
},
"flight_number": {
... | open_datasets |
open_datasets_76613 | [
{
"content": "I would like to learn a random fact about history.",
"role": "user"
}
] | bfcl_strict_10k_00034 | null | toolmind_bfcl_strict | {
"arguments": {
"category": "history"
},
"name": "get_random_fact"
} | <tool_call>
{"name": "get_random_fact", "arguments": {"category": "history"}}
</tool_call> | [
{
"function": {
"description": "Get a random fact from a specific category",
"name": "get_random_fact",
"parameters": {
"properties": {
"category": {
"description": "The category of the fact (e.g. science, history, etc.)",
"type": "string"
}
... | open_datasets |
open_datasets_69485 | [
{
"content": "I need information about the post '13579'.",
"role": "user"
}
] | bfcl_strict_10k_00035 | null | toolmind_bfcl_strict | {
"arguments": {
"postid": "13579"
},
"name": "get_information_of_a_particular_post"
} | <tool_call>
{"name": "get_information_of_a_particular_post", "arguments": {"postid": "13579"}}
</tool_call> | [
{
"function": {
"description": "Fetch information about a specific post using its post ID.",
"name": "get_information_of_a_particular_post",
"parameters": {
"properties": {
"postid": {
"default": "2796025",
"description": "The unique identifier of the ... | open_datasets |
argilla_apigen_39458 | [
{
"content": "Fetch the NEO-90 questionnaire using a custom RapidAPI key, but the key is invalid, and an error occurs. Return the error message.",
"role": "user"
}
] | bfcl_strict_10k_00036 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {},
"name": "questionnaire_sentino"
} | <tool_call>
{"name": "questionnaire_sentino", "arguments": {}}
</tool_call> | [
{
"function": {
"description": "Fetches a questionnaire from the Sentino API based on the NEO-90 inventory.",
"name": "questionnaire_sentino",
"parameters": {
"properties": {
"content_type": {
"default": "application/json",
"description": "The MIME typ... | null |
graph_syn_datasets_70963 | [
{
"content": "Can I get the weekly cortisol data for animal A123?",
"role": "user"
}
] | bfcl_strict_10k_00037 | null | toolmind_bfcl_strict | {
"arguments": {
"animal_id": "A123",
"hormone_type": "cortisol",
"time_interval": "weekly"
},
"name": "getHormoneLevels"
} | <tool_call>
{"name": "getHormoneLevels", "arguments": {"animal_id": "A123", "hormone_type": "cortisol", "time_interval": "weekly"}}
</tool_call> | [
{
"function": {
"description": "Retrieve hormone levels of an animal",
"name": "getHormoneLevels",
"parameters": {
"properties": {
"animal_id": {
"description": "The unique ID of the animal for which you want to get hormone levels",
"type": "string"
... | graph_syn_datasets |
argilla_apigen_14255 | [
{
"content": "Get the latest data for Microsoft Corporation in French.",
"role": "user"
}
] | bfcl_strict_10k_00038 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"lang": "fr",
"slug": "MSFT"
},
"name": "get_equity_latest_data"
} | <tool_call>
{"name": "get_equity_latest_data", "arguments": {"slug": "MSFT", "lang": "fr"}}
</tool_call> | [
{
"function": {
"description": "Fetches the latest equity data for a given equity slug.",
"name": "get_equity_latest_data",
"parameters": {
"properties": {
"lang": {
"default": "en",
"description": "Language code for the data. Defaults to 'en'.",
... | null |
open_datasets_111221 | [
{
"content": "Can you provide a list of all ATP Grand Slam tournaments held in 2019?",
"role": "user"
}
] | bfcl_strict_10k_00039 | null | toolmind_bfcl_strict | {
"arguments": {
"category": "ATP Grand Slam",
"year": "2019"
},
"name": "tournament_list"
} | <tool_call>
{"name": "tournament_list", "arguments": {"year": "2019", "category": "ATP Grand Slam"}}
</tool_call> | [
{
"function": {
"description": "Retrieves a list of all tennis tournaments to be played in a selected year, based on the specified category. It provides basic information about each tournament such as venue, surface, and winners.",
"name": "tournament_list",
"parameters": {
"properties... | open_datasets |
open_datasets_50100 | [
{
"content": "I'm working on a history presentation and I need some detailed information about Leonardo da Vinci. Can you help?",
"role": "user"
}
] | bfcl_strict_10k_00040 | null | toolmind_bfcl_strict | {
"arguments": {
"name": "Leonardo da Vinci"
},
"name": "getHistoricalFigure"
} | <tool_call>
{"name": "getHistoricalFigure", "arguments": {"name": "Leonardo da Vinci"}}
</tool_call> | [
{
"function": {
"description": "Retrieve information about a historical figure",
"name": "getHistoricalFigure",
"parameters": {
"properties": {
"name": {
"description": "The name of the historical figure (e.g., Albert Einstein, Cleopatra, Leonardo da Vinci)",
... | open_datasets |
open_datasets_131898 | [
{
"content": "Retrieve the entry list for the 'inventory' subset from the 'ecommerce_data' dataset in tsv format.",
"role": "user"
}
] | bfcl_strict_10k_00041 | null | toolmind_bfcl_strict | {
"arguments": {
"dataset": "ecommerce_data",
"subset": "inventory"
},
"name": "tsv4"
} | <tool_call>
{"name": "tsv4", "arguments": {"dataset": "ecommerce_data", "subset": "inventory"}}
</tool_call> | [
{
"function": {
"description": "Retrieves the entry list of a specified subset from a dataset using the odem API.",
"name": "tsv4",
"parameters": {
"properties": {
"dataset": {
"default": "frim1",
"description": "The identifier of the dataset to query.... | open_datasets |
open_datasets_54772 | [
{
"content": "Translate the paragraph 'The quick brown fox jumps over the lazy dog' into French, assuming the source language is English.",
"role": "user"
}
] | bfcl_strict_10k_00042 | null | toolmind_bfcl_strict | {
"arguments": {
"source": "en",
"target": "fr",
"text": "The quick brown fox jumps over the lazy dog"
},
"name": "translate"
} | <tool_call>
{"name": "translate", "arguments": {"text": "The quick brown fox jumps over the lazy dog", "source": "en", "target": "fr"}}
</tool_call> | [
{
"function": {
"description": "Translates the given text to the specified target language using the Joj Translate API.",
"name": "translate",
"parameters": {
"properties": {
"source": {
"default": "auto",
"description": "The source language of the tex... | open_datasets |
open_datasets_187407 | [
{
"content": "Can you find a keto-friendly recipe for a low-carb cheesecake?",
"role": "user"
}
] | bfcl_strict_10k_00043 | null | toolmind_bfcl_strict | {
"arguments": {
"search": "low-carb cheesecake"
},
"name": "search_keto_recipe"
} | <tool_call>
{"name": "search_keto_recipe", "arguments": {"search": "low-carb cheesecake"}}
</tool_call> | [
{
"function": {
"description": "Search for keto recipes based on a given search term using the Keto Diet API.",
"name": "search_keto_recipe",
"parameters": {
"properties": {
"search": {
"default": "beef",
"description": "The search term to find keto re... | open_datasets |
graph_syn_datasets_114228 | [
{
"content": "I'm working on a production of *Macbeth*. Can you tell me when Shakespeare wrote it and what genre it falls under?",
"role": "user"
}
] | bfcl_strict_10k_00044 | null | toolmind_bfcl_strict | {
"arguments": {
"play_title": "Macbeth"
},
"name": "getPlay"
} | <tool_call>
{"name": "getPlay", "arguments": {"play_title": "Macbeth"}}
</tool_call> | [
{
"function": {
"description": "Retrieve information about a specific play",
"name": "getPlay",
"parameters": {
"properties": {
"play_title": {
"description": "The title of the play you want information about (e.g., Hamlet, Romeo and Juliet)",
"type": ... | graph_syn_datasets |
graph_syn_datasets_84962 | [
{
"content": "I'm trying to keep track of my rugby team's schedule—could you tell me when Team ID 42's next few games are? I'd love to know who they're playing, where, and which competition it's for.",
"role": "user"
}
] | bfcl_strict_10k_00045 | null | toolmind_bfcl_strict | {
"arguments": {
"id": 42,
"page": 0
},
"name": "TeamNextMatches"
} | <tool_call>
{"name": "TeamNextMatches", "arguments": {"id": 42.0, "page": 0.0}}
</tool_call> | [
{
"function": {
"description": "Get the next matches for a specific Rugby team.",
"name": "TeamNextMatches",
"parameters": {
"properties": {
"id": {
"description": "The ID of the team for which to retrieve the next matches.",
"type": "number"
... | graph_syn_datasets |
argilla_apigen_47362 | [
{
"content": "Find breeds with the name 'Labrador' that weigh between 50 and 70 pounds, have a high trainability level, and a life expectancy of at least 10 years.",
"role": "user"
}
] | bfcl_strict_10k_00046 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"max_weight": 70,
"min_life_expectancy": 10,
"min_weight": 50,
"name": "Labrador",
"trainability": 5
},
"name": "v1_dogs"
} | <tool_call>
{"name": "v1_dogs", "arguments": {"name": "Labrador", "min_weight": 50, "max_weight": 70, "trainability": 5, "min_life_expectancy": 10}}
</tool_call> | [
{
"function": {
"description": "Fetch a list of dog breeds matching specified parameters from the API. Returns at most 20 results by default.",
"name": "v1_dogs",
"parameters": {
"properties": {
"barking": {
"default": "",
"description": "Barking tende... | null |
graph_syn_datasets_145871 | [
{
"content": "How about \"EcoNexus\"? It blends \"eco\" with \"nexus,\" suggesting connection and innovation in sustainability.",
"role": "user"
}
] | bfcl_strict_10k_00047 | null | toolmind_bfcl_strict | {
"arguments": {
"query": "EcoNexus, sustainability, connection, innovation"
},
"name": "double_name_medium"
} | <tool_call>
{"name": "double_name_medium", "arguments": {"query": "EcoNexus, sustainability, connection, innovation"}}
</tool_call> | [
{
"function": {
"description": "Generates a medium double name based on the provided query string.",
"name": "double_name_medium",
"parameters": {
"properties": {
"query": {
"default": "",
"description": "The query string for generating the double name... | graph_syn_datasets |
argilla_apigen_15521 | [
{
"content": "What's the tax rate in San Francisco, zip code 94101?",
"role": "user"
}
] | bfcl_strict_10k_00048 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"zipcode": "94101"
},
"name": "tax_rate"
} | <tool_call>
{"name": "tax_rate", "arguments": {"zipcode": "94101"}}
</tool_call> | [
{
"function": {
"description": "Retrieve the tax rate for a given zip code using the Toolbench RapidAPI service.",
"name": "tax_rate",
"parameters": {
"properties": {
"zipcode": {
"default": "90210",
"description": "The zip code for which to retrieve t... | null |
argilla_apigen_52660 | [
{
"content": "Get song information for 'Hello' by Adele for a user from Australia, using HTTPS only and a song preview bitrate of 64 kbps, and the response should be in French.",
"role": "user"
}
] | bfcl_strict_10k_00049 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"country": "AU",
"https_only": "true",
"lang": "fr",
"s": "signature789",
"song_preview_kbps": "64",
"songid": "song456",
"wmid": "user123"
},
"name": "view_song_copy"
} | <tool_call>
{"name": "view_song_copy", "arguments": {"https_only": "true", "wmid": "user123", "songid": "song456", "s": "signature789", "song_preview_kbps": "64", "lang": "fr", "country": "AU"}}
</tool_call> | [
{
"function": {
"description": "Retrieves detailed information about a song using the specified parameters.",
"name": "view_song_copy",
"parameters": {
"properties": {
"country": {
"default": "id",
"description": "Country code where the request is made... | null |
argilla_apigen_1771 | [
{
"content": "Get analytics for a specific subaccount with ID '12345'.",
"role": "user"
}
] | bfcl_strict_10k_00050 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"p": "your_api_key",
"subaccounts": "12345"
},
"name": "get_analytics"
} | <tool_call>
{"name": "get_analytics", "arguments": {"p": "your_api_key", "subaccounts": "12345"}}
</tool_call> | [
{
"function": {
"description": "Retrieve detailed statistics for your account using the specified parameters through the API.",
"name": "get_analytics",
"parameters": {
"properties": {
"end": {
"default": "",
"description": "The end date for the statis... | null |
open_datasets_113104 | [
{
"content": "Add one to the number 42.",
"role": "user"
}
] | bfcl_strict_10k_00051 | null | toolmind_bfcl_strict | {
"arguments": {
"number": 42
},
"name": "get_plus_one"
} | <tool_call>
{"name": "get_plus_one", "arguments": {"number": 42}}
</tool_call> | [
{
"function": {
"description": "This function takes an integer `number` and uses the RapidAPI service to get the number incremented by one.",
"name": "get_plus_one",
"parameters": {
"properties": {
"number": {
"default": "15",
"description": "The integ... | open_datasets |
open_datasets_172638 | [
{
"content": "Fetch the platforms from the twenty-fifth page.",
"role": "user"
}
] | bfcl_strict_10k_00052 | null | toolmind_bfcl_strict | {
"arguments": {
"page": 25
},
"name": "getplatformlist"
} | <tool_call>
{"name": "getplatformlist", "arguments": {"page": 25}}
</tool_call> | [
{
"function": {
"description": "Fetches the list of platforms with their IDs and names from the API endpoint as JSON.",
"name": "getplatformlist",
"parameters": {
"properties": {
"page": {
"default": "0",
"description": "Page number to retrieve the pla... | open_datasets |
argilla_apigen_14689 | [
{
"content": "I'm organizing meetings from 10 to 11, 10:30 to 11:30, and 11 to 12. What's the minimum number of rooms required?",
"role": "user"
}
] | bfcl_strict_10k_00053 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"intervals": [
[
10,
11
],
[
10.5,
11.5
],
[
11,
12
]
]
},
"name": "min_meeting_rooms"
} | <tool_call>
{"name": "min_meeting_rooms", "arguments": {"intervals": [[10, 11], [10.5, 11.5], [11, 12]]}}
</tool_call> | [
{
"function": {
"description": "Finds the minimum number of meeting rooms required to accommodate all meetings.",
"name": "min_meeting_rooms",
"parameters": {
"properties": {
"intervals": {
"description": "A list of meeting time intervals, where each interval is r... | null |
argilla_apigen_30868 | [
{
"content": "I need to see the comments for post '67890', but only the ones that are not the first 10. How many can you get?",
"role": "user"
}
] | bfcl_strict_10k_00054 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"count": 10,
"offset": 10,
"post_id": "67890"
},
"name": "v1_post_post_id_comments"
} | <tool_call>
{"name": "v1_post_post_id_comments", "arguments": {"post_id": "67890", "count": 10, "offset": 10}}
</tool_call> | [
{
"function": {
"description": "Fetch comments for a given post ID from the Tokapi mobile API.",
"name": "v1_post_post_id_comments",
"parameters": {
"properties": {
"count": {
"default": 10,
"description": "The number of comments to retrieve. Defaults ... | null |
graph_syn_datasets_109779 | [
{
"content": "Could you tell me the latest price and exchange for IBIO?",
"role": "user"
}
] | bfcl_strict_10k_00055 | null | toolmind_bfcl_strict | {
"arguments": {
"symbol": "IBIO"
},
"name": "quotes_get_mashup"
} | <tool_call>
{"name": "quotes_get_mashup", "arguments": {"symbol": "IBIO"}}
</tool_call> | [
{
"function": {
"description": "Fetch additional information for a specific market quote.",
"name": "quotes_get_mashup",
"parameters": {
"properties": {
"symbol": {
"default": "IBIO",
"description": "The market quote symbol for which the information is... | graph_syn_datasets |
open_datasets_121396 | [
{
"content": "Retrieve the fifth page of search results for 'gaming laptop'.",
"role": "user"
}
] | bfcl_strict_10k_00056 | null | toolmind_bfcl_strict | {
"arguments": {
"keyword": "gaming laptop",
"page": 5
},
"name": "taobao_search_by_keyword"
} | <tool_call>
{"name": "taobao_search_by_keyword", "arguments": {"keyword": "gaming laptop", "page": 5}}
</tool_call> | [
{
"function": {
"description": "Search for products on Taobao using a specified keyword and return the search results.",
"name": "taobao_search_by_keyword",
"parameters": {
"properties": {
"keyword": {
"default": "海久水瓶",
"description": "The search keyw... | open_datasets |
open_datasets_77721 | [
{
"content": "What is the definition of the word \"serendipity\"?",
"role": "user"
}
] | bfcl_strict_10k_00057 | null | toolmind_bfcl_strict | {
"arguments": {
"word": "serendipity"
},
"name": "get_definition"
} | <tool_call>
{"name": "get_definition", "arguments": {"word": "serendipity"}}
</tool_call> | [
{
"function": {
"description": "Get the definition of a word",
"name": "get_definition",
"parameters": {
"properties": {
"word": {
"description": "The word to get the definition of",
"type": "string"
}
},
"required": [
... | open_datasets |
argilla_apigen_9077 | [
{
"content": "In my history class, we are discussing ancient numbers. Can you spell out 12345678901234567890?",
"role": "user"
}
] | bfcl_strict_10k_00058 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"text": "12345678901234567890"
},
"name": "numbers_translator"
} | <tool_call>
{"name": "numbers_translator", "arguments": {"text": "12345678901234567890"}}
</tool_call> | [
{
"function": {
"description": "Converts a numerical text string into its spelled-out form using an external API.",
"name": "numbers_translator",
"parameters": {
"properties": {
"text": {
"default": "23879908709817834",
"description": "Numerical text t... | null |
graph_syn_datasets_101881 | [
{
"content": "I want to optimize the search API calls by getting instant results on the first keypress and a final query after 500ms of inactivity—how can I structure the debounceHandler to handle both leading and trailing edges?",
"role": "user"
}
] | bfcl_strict_10k_00059 | null | toolmind_bfcl_strict | {
"arguments": {
"func": "searchAPIFunction",
"options": {
"leading": true,
"trailing": true
},
"wait": 500
},
"name": "debounceHandler"
} | <tool_call>
{"name": "debounceHandler", "arguments": {"func": "searchAPIFunction", "wait": 500, "options": {"leading": true, "trailing": true}}}
</tool_call> | [
{
"function": {
"description": "This function creates a debounced function that delays invoking the provided function until after a certain amount of milliseconds have passed since the last time the debounced function was invoked.",
"name": "debounceHandler",
"parameters": {
"propertie... | graph_syn_datasets |
graph_syn_datasets_119946 | [
{
"content": "I’ve been a software engineer for five years and want to start planning my career growth. I’m curious where I stand in terms of seniority and what steps I should take to move into a leadership role or a more specialized technical position. Could you help me break this down?",
"role": "user"
... | bfcl_strict_10k_00060 | null | toolmind_bfcl_strict | {
"arguments": {
"job_role": "software engineer",
"years_experience": 5
},
"name": "career.get_progression"
} | <tool_call>
{"name": "career.get_progression", "arguments": {"job_role": "software engineer", "years_experience": 5}}
</tool_call> | [
{
"function": {
"description": "Retrieve the career progression path for a specified job role.",
"name": "career.get_progression",
"parameters": {
"properties": {
"job_role": {
"description": "The job role for which the career progression is being queried.",
... | graph_syn_datasets |
open_datasets_75312 | [
{
"content": "I'm in New York and I'm craving for some Italian food. Can you suggest some restaurants?",
"role": "user"
}
] | bfcl_strict_10k_00061 | null | toolmind_bfcl_strict | {
"arguments": {
"cuisine": "Italian",
"location": "New York"
},
"name": "search_restaurants"
} | <tool_call>
{"name": "search_restaurants", "arguments": {"location": "New York", "cuisine": "Italian"}}
</tool_call> | [
{
"function": {
"description": "Search for restaurants based on given criteria",
"name": "search_restaurants",
"parameters": {
"properties": {
"cuisine": {
"description": "The cuisine type of the restaurants",
"type": "string"
},
"l... | open_datasets |
argilla_apigen_11768 | [
{
"content": "Retrieve text from an image of a legal document in English from the URL 'https://example.com/legal_doc.jpg'.",
"role": "user"
}
] | bfcl_strict_10k_00062 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"language": "en",
"url": "https://example.com/legal_doc.jpg"
},
"name": "image_to_text_ocr"
} | <tool_call>
{"name": "image_to_text_ocr", "arguments": {"url": "https://example.com/legal_doc.jpg", "language": "en"}}
</tool_call> | [
{
"function": {
"description": "Extracts text from an image using the Google Lens OCR API and provides detailed detections at the paragraph, sentence, and word levels.",
"name": "image_to_text_ocr",
"parameters": {
"properties": {
"language": {
"default": "en",
... | null |
open_datasets_189876 | [
{
"content": "Fetch the last 10 singles of the artist with ID '6vWDO969PvNqNYHIOW5v0m' after skipping the first 20 singles.",
"role": "user"
}
] | bfcl_strict_10k_00063 | null | toolmind_bfcl_strict | {
"arguments": {
"is_id": "6vWDO969PvNqNYHIOW5v0m",
"limit": "10",
"offset": "20"
},
"name": "artist_singles"
} | <tool_call>
{"name": "artist_singles", "arguments": {"is_id": "6vWDO969PvNqNYHIOW5v0m", "offset": "20", "limit": "10"}}
</tool_call> | [
{
"function": {
"description": "Fetches singles of an artist from the Spotify API using the provided artist ID.",
"name": "artist_singles",
"parameters": {
"properties": {
"is_id": {
"default": "2w9zwq3AktTeYYMuhMjju8",
"description": "The Spotify arti... | open_datasets |
open_datasets_171872 | [
{
"content": "Could you find out more about the creator with ID 13579? I need their general details.",
"role": "user"
}
] | bfcl_strict_10k_00064 | null | toolmind_bfcl_strict | {
"arguments": {
"creator_id": 13579
},
"name": "details"
} | <tool_call>
{"name": "details", "arguments": {"creator_id": 13579}}
</tool_call> | [
{
"function": {
"description": "Gets the details and general information of a creator using their `creator_id`.",
"name": "details",
"parameters": {
"properties": {
"creator_id": {
"default": "2416483",
"description": "The unique identifier of the crea... | open_datasets |
open_datasets_67995 | [
{
"content": "Fetch the latest 15 videos from the TikTok user '@charli_d\\_amelio'.",
"role": "user"
}
] | bfcl_strict_10k_00065 | null | toolmind_bfcl_strict | {
"arguments": {
"count": "15",
"unique_id": "@charli_d\\_amelio"
},
"name": "user_post_videos"
} | <tool_call>
{"name": "user_post_videos", "arguments": {"count": "15", "unique_id": "@charli_d\\_amelio"}}
</tool_call> | [
{
"function": {
"description": "Fetches the post videos of a TikTok user using the specified parameters.",
"name": "user_post_videos",
"parameters": {
"properties": {
"count": {
"default": "10",
"description": "The number of videos to fetch, with a max... | open_datasets |
open_datasets_68046 | [
{
"content": "Generate 5 sentences of lorem ipsum text.",
"role": "user"
}
] | bfcl_strict_10k_00066 | null | toolmind_bfcl_strict | {
"arguments": {
"amount": 5
},
"name": "sentence"
} | <tool_call>
{"name": "sentence", "arguments": {"amount": 5}}
</tool_call> | [
{
"function": {
"description": "This function creates lorem ipsum text by specifying the number of sentences to generate. It makes a request to the RapidAPI lorem ipsum service.",
"name": "sentence",
"parameters": {
"properties": {
"amount": {
"default": "2",
... | open_datasets |
graph_syn_datasets_76241 | [
{
"content": "Hey, I'm trying to find out all the IPL cricket matches that were held in Mumbai. Could you help me with that?",
"role": "user"
}
] | bfcl_strict_10k_00067 | null | toolmind_bfcl_strict | {
"arguments": {
"city": "Mumbai"
},
"name": "getmatchesbycity"
} | <tool_call>
{"name": "getmatchesbycity", "arguments": {"city": "Mumbai"}}
</tool_call> | [
{
"function": {
"description": "Fetches all the cricket matches held in a specified city using the IPL API.",
"name": "getmatchesbycity",
"parameters": {
"properties": {
"city": {
"default": "Kolkata",
"description": "The name of the city to filter the... | graph_syn_datasets |
argilla_apigen_32874 | [
{
"content": "Extract entities from the text 'The Eiffel Tower is a popular tourist attraction in France.'",
"role": "user"
}
] | bfcl_strict_10k_00068 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"payload": "The Eiffel Tower is a popular tourist attraction in France."
},
"name": "wrt_transformer"
} | <tool_call>
{"name": "wrt_transformer", "arguments": {"payload": "The Eiffel Tower is a popular tourist attraction in France."}}
</tool_call> | [
{
"function": {
"description": "Processes text input to identify entities using the Walnut Entity Recognition API.",
"name": "wrt_transformer",
"parameters": {
"properties": {
"payload": {
"default": "I am Richard from New York and I work at Microsoft.",
... | null |
argilla_apigen_16475 | [
{
"content": "Find the duplicate in the list [3, 3, 1, 2, 4, 5, 6, 7, 8, 9, 10].",
"role": "user"
}
] | bfcl_strict_10k_00069 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"nums": [
3,
3,
1,
2,
4,
5,
6,
7,
8,
9,
10
]
},
"name": "find_duplicate_number"
} | <tool_call>
{"name": "find_duplicate_number", "arguments": {"nums": [3, 3, 1, 2, 4, 5, 6, 7, 8, 9, 10]}}
</tool_call> | [
{
"function": {
"description": "Finds the duplicate number in a list of integers.",
"name": "find_duplicate_number",
"parameters": {
"properties": {
"nums": {
"description": "The list of integers.",
"items": {
"type": "string"
... | null |
open_datasets_78620 | [
{
"content": "Hey, can you check if 17 is a prime number?",
"role": "user"
}
] | bfcl_strict_10k_00070 | null | toolmind_bfcl_strict | {
"arguments": {
"number": 17
},
"name": "check_prime_number"
} | <tool_call>
{"name": "check_prime_number", "arguments": {"number": 17}}
</tool_call> | [
{
"function": {
"description": "Check if a number is prime",
"name": "check_prime_number",
"parameters": {
"properties": {
"number": {
"description": "The number to check",
"type": "integer"
}
},
"required": [
"numbe... | open_datasets |
argilla_apigen_25226 | [
{
"content": "Can you provide details about the video with ID 'dQw4w9WgXcQ'?",
"role": "user"
}
] | bfcl_strict_10k_00071 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"is_id": "dQw4w9WgXcQ"
},
"name": "video_details"
} | <tool_call>
{"name": "video_details", "arguments": {"is_id": "dQw4w9WgXcQ"}}
</tool_call> | [
{
"function": {
"description": "Fetches details of a YouTube video based on the provided video ID using the RapidAPI service.",
"name": "video_details",
"parameters": {
"properties": {
"gl": {
"default": "US",
"description": "Country code for the video... | null |
graph_syn_datasets_39682 | [
{
"content": "Can you share the Product team's hierarchy? I'm setting up a cross-department meeting with leads and their direct reports and need to confirm the attendees and align with senior stakeholders.",
"role": "user"
}
] | bfcl_strict_10k_00072 | null | toolmind_bfcl_strict | {
"arguments": {
"team": "Product"
},
"name": "getTeamHierarchy"
} | <tool_call>
{"name": "getTeamHierarchy", "arguments": {"team": "Product"}}
</tool_call> | [
{
"function": {
"description": "Retrieve the hierarchical structure of a team",
"name": "getTeamHierarchy",
"parameters": {
"properties": {
"team": {
"description": "The team for which you want to retrieve the hierarchy (e.g., Sales, Product, Customer Support)",
... | graph_syn_datasets |
argilla_apigen_34609 | [
{
"content": "I'm interested in the change in forest area in the Sundarbans over a period of 3 years. Please exclude the impact of human activities.",
"role": "user"
}
] | bfcl_strict_10k_00073 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"include_humans": false,
"location": "Sundarbans",
"num_years": 3
},
"name": "predict_forest_area"
} | <tool_call>
{"name": "predict_forest_area", "arguments": {"location": "Sundarbans", "num_years": 3, "include_humans": false}}
</tool_call> | [
{
"function": {
"description": "Predicts the change in forest area over a specified number of years.",
"name": "predict_forest_area",
"parameters": {
"properties": {
"include_humans": {
"description": "Whether to include the impact of human activities in the predi... | null |
argilla_apigen_30978 | [
{
"content": "Fetch dog breeds with high energy (4) and low shedding (1), starting from the 10th result.",
"role": "user"
}
] | bfcl_strict_10k_00074 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"energy": 4,
"offset": 10,
"shedding": 1
},
"name": "v1_dogs"
} | <tool_call>
{"name": "v1_dogs", "arguments": {"offset": 10, "energy": 4, "shedding": 1}}
</tool_call> | [
{
"function": {
"description": "Fetch a list of dog breeds matching specified parameters from the API. Returns at most 20 results by default.",
"name": "v1_dogs",
"parameters": {
"properties": {
"barking": {
"default": "",
"description": "Barking tende... | null |
argilla_apigen_48214 | [
{
"content": "Fetch the details of the webpage 'https://www.microsoft.com/' using the URL lookup API and the default API key.",
"role": "user"
}
] | bfcl_strict_10k_00075 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"url": "https://www.microsoft.com/"
},
"name": "v1_urllookup"
} | <tool_call>
{"name": "v1_urllookup", "arguments": {"url": "https://www.microsoft.com/"}}
</tool_call> | [
{
"function": {
"description": "Queries the API Ninjas URL Lookup endpoint to retrieve information about a given URL.",
"name": "v1_urllookup",
"parameters": {
"properties": {
"url": {
"default": "https://example.com",
"description": "The valid URL to ... | null |
open_datasets_73605 | [
{
"content": "Hi, I was born on 1990-05-15. Can you tell me how old I am today?",
"role": "user"
}
] | bfcl_strict_10k_00076 | null | toolmind_bfcl_strict | {
"arguments": {
"birth_date": "1990-05-15"
},
"name": "calculate_age"
} | <tool_call>
{"name": "calculate_age", "arguments": {"birth_date": "1990-05-15"}}
</tool_call> | [
{
"function": {
"description": "Calculate the age based on the birth date",
"name": "calculate_age",
"parameters": {
"properties": {
"birth_date": {
"description": "The birth date in yyyy-mm-dd format",
"type": "string"
}
},
"... | open_datasets |
open_datasets_81561 | [
{
"content": "I need to track my expenses. I just bought a new laptop for $1200 under the category of electronics.",
"role": "user"
}
] | bfcl_strict_10k_00077 | null | toolmind_bfcl_strict | {
"arguments": {
"amount": 1200,
"category": "electronics",
"expense_description": "new laptop"
},
"name": "track_expenses"
} | <tool_call>
{"name": "track_expenses", "arguments": {"expense_description": "new laptop", "amount": 1200, "category": "electronics"}}
</tool_call> | [
{
"function": {
"description": "Track and categorize personal expenses",
"name": "track_expenses",
"parameters": {
"properties": {
"amount": {
"description": "The expense amount",
"type": "number"
},
"category": {
"descr... | open_datasets |
argilla_apigen_54903 | [
{
"content": "I have a rectangle with vertices at (1, 1), (4, 1), (4, 3), and (1, 3). What is its area?",
"role": "user"
}
] | bfcl_strict_10k_00078 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"vertices": [
[
1,
1
],
[
4,
1
],
[
4,
3
],
[
1,
3
]
]
},
"name": "polygon_area_shoelace"
} | <tool_call>
{"name": "polygon_area_shoelace", "arguments": {"vertices": [[1, 1], [4, 1], [4, 3], [1, 3]]}}
</tool_call> | [
{
"function": {
"description": "Calculates the area of a polygon using the shoelace formula.",
"name": "polygon_area_shoelace",
"parameters": {
"properties": {
"vertices": {
"description": "A list of polygon vertices represented as tuples (x, y).",
"it... | null |
graph_syn_datasets_123286 | [
{
"content": "Are there existing tools or platforms that can help track monthly changes in the Great Barrier Reef's marine ecosystem, particularly for factors like temperature and salinity?",
"role": "user"
}
] | bfcl_strict_10k_00079 | null | toolmind_bfcl_strict | {
"arguments": {
"frequency": "monthly",
"parameters": [
"temperature",
"salinity"
],
"region": "Great Barrier Reef"
},
"name": "marine.ecosystem_monitoring"
} | <tool_call>
{"name": "marine.ecosystem_monitoring", "arguments": {"region": "Great Barrier Reef", "parameters": ["temperature", "salinity"], "frequency": "monthly"}}
</tool_call> | [
{
"function": {
"description": "Monitors and reports on the health and composition of marine ecosystems over time.",
"name": "marine.ecosystem_monitoring",
"parameters": {
"properties": {
"frequency": {
"description": "Frequency of monitoring activities.",
... | graph_syn_datasets |
argilla_apigen_58937 | [
{
"content": "Can you give me the title, photo URL, and description of the Telegram channel @examplechannel and also tell me how many members it has?",
"role": "user"
}
] | bfcl_strict_10k_00080 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"channel": "examplechannel"
},
"name": "telegram_channel_info"
} | <tool_call>
{"name": "telegram_channel_info", "arguments": {"channel": "examplechannel"}}
</tool_call> | [
{
"function": {
"description": "Fetch realtime information about a public Telegram Channel.",
"name": "telegram_channel_info",
"parameters": {
"properties": {
"channel": {
"default": "telegram",
"description": "The @username of the Telegram channel.",
... | null |
argilla_apigen_9465 | [
{
"content": "Is 224.0.0.1 a valid IP address for multicast communication?",
"role": "user"
}
] | bfcl_strict_10k_00081 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"ip": "224.0.0.1"
},
"name": "is_valid_ip_address"
} | <tool_call>
{"name": "is_valid_ip_address", "arguments": {"ip": "224.0.0.1"}}
</tool_call> | [
{
"function": {
"description": "Checks if a string is a valid IP address (IPv4).",
"name": "is_valid_ip_address",
"parameters": {
"properties": {
"ip": {
"description": "The string to check.",
"type": "string"
}
},
"required":... | null |
open_datasets_115003 | [
{
"content": "Fetch the QR code image for the phone identified by 'phone123' using the Maytapi WhatsApp API.",
"role": "user"
}
] | bfcl_strict_10k_00082 | null | toolmind_bfcl_strict | {
"arguments": {
"phone_id": "phone123"
},
"name": "getqrcode"
} | <tool_call>
{"name": "getqrcode", "arguments": {"phone_id": "phone123"}}
</tool_call> | [
{
"function": {
"description": "Fetch the QR code image for a given phone ID using the Maytapi WhatsApp API.",
"name": "getqrcode",
"parameters": {
"properties": {
"phone_id": {
"default": "",
"description": "The identifier for the phone whose QR code ... | open_datasets |
graph_syn_datasets_101066 | [
{
"content": "Hey, I need to get from San Francisco to Yosemite by 8 AM on October 5th. What’s the best route to take considering morning traffic, and do you have any alternative routes in case there are delays?",
"role": "user"
}
] | bfcl_strict_10k_00083 | null | toolmind_bfcl_strict | {
"arguments": {
"journeyDetails": {
"departureTime": "2023-10-05 04:00",
"endLocation": "Yosemite",
"startLocation": "San Francisco"
}
},
"name": "travel.calculateOptimalRoute"
} | <tool_call>
{"name": "travel.calculateOptimalRoute", "arguments": {"journeyDetails": {"startLocation": "San Francisco", "endLocation": "Yosemite", "departureTime": "2023-10-05 04:00"}}}
</tool_call> | [
{
"function": {
"description": "Calculates the optimal travel route based on start and end locations, considering traffic conditions.",
"name": "travel.calculateOptimalRoute",
"parameters": {
"properties": {
"journeyDetails": {
"properties": {
"depar... | graph_syn_datasets |
open_datasets_108484 | [
{
"content": "Fetch the entry list for the 'transactions' subset of the 'banking_data' dataset in tsv format.",
"role": "user"
}
] | bfcl_strict_10k_00084 | null | toolmind_bfcl_strict | {
"arguments": {
"dataset": "banking_data",
"subset": "transactions"
},
"name": "tsv4"
} | <tool_call>
{"name": "tsv4", "arguments": {"dataset": "banking_data", "subset": "transactions"}}
</tool_call> | [
{
"function": {
"description": "Retrieves the entry list of a specified subset from a dataset using the odem API.",
"name": "tsv4",
"parameters": {
"properties": {
"dataset": {
"default": "frim1",
"description": "The identifier of the dataset to query.... | open_datasets |
open_datasets_105809 | [
{
"content": "Fetch the next 20 trending NFT collections after skipping the first 50.",
"role": "user"
}
] | bfcl_strict_10k_00085 | null | toolmind_bfcl_strict | {
"arguments": {
"limit": 20,
"offset": 50
},
"name": "trending_with_pagination"
} | <tool_call>
{"name": "trending_with_pagination", "arguments": {"offset": 50, "limit": 20}}
</tool_call> | [
{
"function": {
"description": "Fetches trending NFT collections from OpenSea with pagination support.",
"name": "trending_with_pagination",
"parameters": {
"properties": {
"limit": {
"default": "50",
"description": "The number of collections to fetch.... | open_datasets |
argilla_apigen_35033 | [
{
"content": "Get the second page of stocks with an RSI oversold signal.",
"role": "user"
}
] | bfcl_strict_10k_00086 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"page": 2
},
"name": "rsi_oversold"
} | <tool_call>
{"name": "rsi_oversold", "arguments": {"page": 2}}
</tool_call> | [
{
"function": {
"description": "Fetches a list of stocks that have an RSI oversold signal from the specified API endpoint.",
"name": "rsi_oversold",
"parameters": {
"properties": {
"page": {
"default": "1",
"description": "The page number for paginatio... | null |
open_datasets_186984 | [
{
"content": "Can I find homeless shelters near the Golden Gate Bridge in San Francisco? The coordinates for the Golden Gate Bridge are about 37.8197° N, 122.4786° W.",
"role": "user"
}
] | bfcl_strict_10k_00087 | null | toolmind_bfcl_strict | {
"arguments": {
"lat": "37.8197",
"lng": "-122.4786",
"radius": "5"
},
"name": "by_location"
} | <tool_call>
{"name": "by_location", "arguments": {"lat": "37.8197", "radius": "5", "lng": "-122.4786"}}
</tool_call> | [
{
"function": {
"description": "Searches for homeless shelters based on provided geographical coordinates and radius.",
"name": "by_location",
"parameters": {
"properties": {
"lat": {
"default": "47.630703",
"description": "The latitude of the location... | open_datasets |
open_datasets_80834 | [
{
"content": "Hi, I want to create a new email account. Can you check if the email address john.doe@gmail.com is available?",
"role": "user"
}
] | bfcl_strict_10k_00088 | null | toolmind_bfcl_strict | {
"arguments": {
"email": "john.doe@gmail.com"
},
"name": "check_email_availability"
} | <tool_call>
{"name": "check_email_availability", "arguments": {"email": "john.doe@gmail.com"}}
</tool_call> | [
{
"function": {
"description": "Check if an email address is available",
"name": "check_email_availability",
"parameters": {
"properties": {
"email": {
"description": "Email address to be checked",
"type": "string"
}
},
"requi... | open_datasets |
open_datasets_77519 | [
{
"content": "Can you find me information about the book \"To Kill a Mockingbird\"?",
"role": "user"
}
] | bfcl_strict_10k_00089 | null | toolmind_bfcl_strict | {
"arguments": {
"title": "To Kill a Mockingbird"
},
"name": "search_book"
} | <tool_call>
{"name": "search_book", "arguments": {"title": "To Kill a Mockingbird"}}
</tool_call> | [
{
"function": {
"description": "Search for information about a book",
"name": "search_book",
"parameters": {
"properties": {
"author": {
"description": "The author of the book",
"type": "string"
},
"title": {
"descriptio... | open_datasets |
open_datasets_130322 | [
{
"content": "Get 7 tasks from Africa.",
"role": "user"
}
] | bfcl_strict_10k_00090 | null | toolmind_bfcl_strict | {
"arguments": {
"limit": 7,
"region": "Africa",
"type": "task"
},
"name": "fetch_by_type_and_region"
} | <tool_call>
{"name": "fetch_by_type_and_region", "arguments": {"type": "task", "limit": 7, "region": "Africa"}}
</tool_call> | [
{
"function": {
"description": "Fetch records from the API based on the given type, limit, and region.",
"name": "fetch_by_type_and_region",
"parameters": {
"properties": {
"limit": {
"default": "5",
"description": "The maximum number of records to fet... | open_datasets |
graph_syn_datasets_66907 | [
{
"content": "I need help analyzing AAPL's 15-minute chart using a modified Parabolic SAR setup. Could you generate 50 data points in JSON format with custom acceleration factors (0.02 for longs, 0.03 for shorts) and max limits (0.2/0.3) to identify trend reversals?",
"role": "user"
}
] | bfcl_strict_10k_00091 | null | toolmind_bfcl_strict | {
"arguments": {
"acceleration_long": 0.02,
"acceleration_max_long": 0.2,
"acceleration_max_short": 0.30000000000000004,
"acceleration_short": 0.03,
"format": "json",
"interval": "15min",
"outputsize": 50,
"symbol": "AAPL"
},
"name": "SAREXT"
} | <tool_call>
{"name": "SAREXT", "arguments": {"symbol": "AAPL", "interval": "15min", "acceleration_long": 0.02, "acceleration_short": 0.03, "acceleration_max_long": 0.2, "acceleration_max_short": 0.30000000000000004, "outputsize": 50, "format": "json"}}
</tool_call> | [
{
"function": {
"description": "Parabolic SAR Extended (SAREXT) calculates the Parabolic SAR Extended indicator for a given symbol and interval.",
"name": "SAREXT",
"parameters": {
"properties": {
"acceleration_limit_long": {
"default": 0,
"description... | graph_syn_datasets |
argilla_apigen_16669 | [
{
"content": "Find all stretching exercises that target the neck and are suitable for experts.",
"role": "user"
}
] | bfcl_strict_10k_00092 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"difficulty": "expert",
"muscle": "neck",
"type": "stretching"
},
"name": "v1_exercises"
} | <tool_call>
{"name": "v1_exercises", "arguments": {"muscle": "neck", "type": "stretching", "difficulty": "expert"}}
</tool_call> | [
{
"function": {
"description": "Fetch up to 10 exercises from the API Ninjas Exercises API that satisfy the given search parameters.",
"name": "v1_exercises",
"parameters": {
"properties": {
"difficulty": {
"default": "",
"description": "Difficulty lev... | null |
graph_syn_datasets_128006 | [
{
"content": "Can you check the 'ProjectProposal_Final_2023.pdf' in the 'ProjectDocs/2023' folder and confirm if the management approval stamps are present, along with their positions and types?",
"role": "user"
}
] | bfcl_strict_10k_00093 | null | toolmind_bfcl_strict | {
"arguments": {
"folder": "ProjectDocs/2023",
"name": "ProjectProposal_Final_2023.pdf"
},
"name": "GetDocumentStamps"
} | <tool_call>
{"name": "GetDocumentStamps", "arguments": {"name": "ProjectProposal_Final_2023.pdf", "folder": "ProjectDocs/2023"}}
</tool_call> | [
{
"function": {
"description": "Retrieves document stamps from a PDF string.",
"name": "GetDocumentStamps",
"parameters": {
"properties": {
"folder": {
"description": "The folder where the PDF string is located.",
"type": "string"
},
... | graph_syn_datasets |
graph_syn_datasets_126817 | [
{
"content": "I’d like to submit feedback for my recent stay at hotel H123. My guest ID is G456, and I’d rate my experience a 4 out of 5—great service, but the room could have been cleaner. Can you confirm this is recorded?",
"role": "user"
}
] | bfcl_strict_10k_00094 | null | toolmind_bfcl_strict | {
"arguments": {
"feedbackDetails": {
"comments": "great service, but the room could have been cleaner.",
"guestId": "G456",
"hotelId": "H123",
"rating": 4
}
},
"name": "GuestFeedbackCollector.collectFeedback"
} | <tool_call>
{"name": "GuestFeedbackCollector.collectFeedback", "arguments": {"feedbackDetails": {"hotelId": "H123", "guestId": "G456", "rating": 4, "comments": "great service, but the room could have been cleaner."}}}
</tool_call> | [
{
"function": {
"description": "Collects feedback from guests regarding their hotel stay experience.",
"name": "GuestFeedbackCollector.collectFeedback",
"parameters": {
"properties": {
"feedbackDetails": {
"properties": {
"comments": {
... | graph_syn_datasets |
graph_syn_datasets_75530 | [
{
"content": "My child was born on May 15, 2022. Could you help me figure out their age in months today?",
"role": "user"
}
] | bfcl_strict_10k_00095 | null | toolmind_bfcl_strict | {
"arguments": {
"birthdate": "2022-05-15"
},
"name": "calculate_age_in_months"
} | <tool_call>
{"name": "calculate_age_in_months", "arguments": {"birthdate": "2022-05-15"}}
</tool_call> | [
{
"function": {
"description": "Calculate the age in months based on the birthdate",
"name": "calculate_age_in_months",
"parameters": {
"properties": {
"birthdate": {
"description": "The birthdate in format YYYY-MM-DD",
"type": "string"
}
... | graph_syn_datasets |
open_datasets_175765 | [
{
"content": "Get the statistics of trainers from the horse racing API for the past 2 weeks.",
"role": "user"
}
] | bfcl_strict_10k_00096 | null | toolmind_bfcl_strict | {
"arguments": {
"last_days": 14
},
"name": "trainers_win_rate"
} | <tool_call>
{"name": "trainers_win_rate", "arguments": {"last_days": 14}}
</tool_call> | [
{
"function": {
"description": "Fetches trainers' win rate statistics from the past specified number of days.",
"name": "trainers_win_rate",
"parameters": {
"properties": {
"last_days": {
"default": "7",
"description": "The number of past days to consi... | open_datasets |
argilla_apigen_23353 | [
{
"content": "Please retrieve a dark, portrait mlem image tagged with 'nature' and ensure it has a minimum height of 600 pixels and a maximum width of 400 pixels.",
"role": "user"
}
] | bfcl_strict_10k_00097 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"brightness": "dark",
"maxwidth": 400,
"minheight": 600,
"orientation": "portrait",
"tag": "nature"
},
"name": "random_mlem"
} | <tool_call>
{"name": "random_mlem", "arguments": {"brightness": "dark", "minheight": 600, "maxwidth": 400, "tag": "nature", "orientation": "portrait"}}
</tool_call> | [
{
"function": {
"description": "Fetches one random mlem image in JSON format based on the given optional parameters.",
"name": "random_mlem",
"parameters": {
"properties": {
"brightness": {
"default": "",
"description": "Image brightness, can be 'dark'... | null |
argilla_apigen_28885 | [
{
"content": "What are the fixtures for the 2023 Caribbean Premier League?",
"role": "user"
}
] | bfcl_strict_10k_00098 | xLAM | argilla_apigen_bfcl_strict | {
"arguments": {
"series_id": 98765
},
"name": "fixtures_by_series"
} | <tool_call>
{"name": "fixtures_by_series", "arguments": {"series_id": 98765}}
</tool_call> | [
{
"function": {
"description": "Fetches fixtures and results for a given cricket series using the RapidAPI service.",
"name": "fixtures_by_series",
"parameters": {
"properties": {
"series_id": {
"default": "606",
"description": "The unique identifier f... | null |
open_datasets_188634 | [
{
"content": "Fetch the live data for the match 'T246801', such as team lineups and recent events.",
"role": "user"
}
] | bfcl_strict_10k_00099 | null | toolmind_bfcl_strict | {
"arguments": {
"is_id": "T246801"
},
"name": "provider2_live_match_id"
} | <tool_call>
{"name": "provider2_live_match_id", "arguments": {"is_id": "T246801"}}
</tool_call> | [
{
"function": {
"description": "Fetches live match details from the provider2 API for a given match ID.",
"name": "provider2_live_match_id",
"parameters": {
"properties": {
"is_id": {
"default": "",
"description": "The match ID for which to fetch the l... | open_datasets |
End of preview.
issue49/issue51 BFCL repro artifacts
Shared artifacts for the circuit-shotting BFCL single-turn/single-call experiments tracked in GitHub issues #49 and #51.
Core eval setup:
- base:
Qwen/Qwen3-8B - eval slice: BFCL v3 single-turn/single-call,
1007rows - main attribution:
artifacts/issue49/attribution/relp_full.npz - main k240 destruction attribution:
artifacts/issue49/destruction/k240_r16_v2/tokenbender_k240_r16_v2_normalized_destruction_attr.npz - public k160 supervised adapter repo:
Occupying-Mars/issue49-k160-r32-len1024-adapter - public k160 GKD+AOPD adapter subtree:
Occupying-Mars/issue49-k160-r32-len1024-adapter/gkd_aopd_hybrid_k160_v0 - public k240/r16 adapter repo:
Occupying-Mars/issue49-k240-r16-adapter
Notes:
data/bfcl_strict_10k_mix_len1024/train.jsonlis the len-filtered training mix used by #51 policy-distillation/hybrid runs.data/bfcl_strict_10k_plus_toolace_exact_2k/anddata/toolace_exact_value_repair/are included for later #51 ToolACE repair checks.- The later
r32_more_onlineresult mentioned in #51 was not present in the local checkout during this upload, so it is not included here.
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