Datasets:
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<name: string, description: string, parameters: string, required: list<item: null>>
to
{'name': Value('string'), 'description': Value('string'), 'parameters': Json(decode=True)}
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2109, in cast_array_to_feature
casted_array_values = _c(array.values, feature.feature)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2059, in cast_array_to_feature
_c(array.field(name) if name in array_fields else null_array, subfeature)
~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2149, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<name: string, description: string, parameters: string, required: list<item: null>>
to
{'name': Value('string'), 'description': Value('string'), 'parameters': Json(decode=True)}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, 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.
messages list | tools list | source string | format string | record_idx int64 | metadata unknown |
|---|---|---|---|---|---|
[
{
"role": "user",
"content": "I need to retrieve the current car inventory data for a project I'm working on. Can you use the get_50m30p3r4t10n tool with request_id \"HW_Inv_20231105\" to fetch the complete list of available vehicles? I'm particularly interested in models from 2020 onward with hybrid or ele... | [
{
"type": "function",
"function": {
"name": "get_50m30p3r4t10n",
"description": "Retrieves the complete list of cars currently available in inventory. This endpoint provides access to vehicle data for inventory management or sales tracking purposes. The request_id parameter is required for cross... | nemotron | native | 11,988 | null |
[
{
"role": "system",
"content": "You are an expert in composing functions. You are given a question and a set of possible functions. Based on the question, you will need to make one or more function/tool calls to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the f... | [] | xlam_bfcl_fmt | bfcl_prompting | 25,864 | null |
[
{
"role": "system",
"content": "You are a helpful assistant with access to the following functions. Use them if required.\n\n```json\n[\n {\n \"name\": \"polygon_area_shoelace\",\n \"description\": \"Calculates the area of a polygon using the shoelace formula.\",\n \"parameters\": {\n \"verti... | null | xlam | bfcl | 47,440 | null |
[
{
"role": "system",
"content": "You are a helpful assistant with access to the following functions. Use them if required.\n\n```json\n[\n {\n \"name\": \"binomial_probability\",\n \"description\": \"Calculates the probability of getting exactly k successes in n independent trials,\",\n \"parameter... | null | xlam | bfcl | 24,517 | null |
[
{
"role": "system",
"content": "You are a helpful assistant with access to the following functions. Use them if required.\n\n```json\n[\n {\n \"name\": \"health\",\n \"description\": \"Fetches health-related news from Google News using the provided language region and API key.\",\n \"parameters\":... | null | xlam | bfcl | 692 | null |
[
{
"role": "system",
"content": "You are a helpful assistant with access to the following functions. Use them if required.\n\n```json\n[\n {\n \"name\": \"default\",\n \"description\": \"Retrieves sports-related video content from Facebook's video API. This function enables querying of sports-specific... | null | nemotron | bfcl | 44,452 | null |
[
{
"role": "user",
"content": "A traveler wants to know the geographical coordinates of Paris to plan a trip. What are the latitude and longitude of Paris?"
},
{
"role": "assistant",
"content": null,
"tool_calls": [
{
"id": "call_8009_0",
"type": "function",
"fun... | [
{
"type": "function",
"function": {
"name": "project_population",
"description": "Projects the population size after a specified number of years.",
"parameters": {
"type": "object",
"properties": {
"current_pop": {
"type": "integer",
"descr... | xlam | native | 8,009 | null |
[
{
"role": "user",
"content": "I have two sets of numbers: [0.1, 0.2, 0.3, 0.4, 0.5] and [1.1, 2.1, 3.1, 4.1, 5.1]. Can you find the average of these numbers?"
},
{
"role": "assistant",
"content": null,
"tool_calls": [
{
"id": "call_34053_0",
"type": "function",
... | [
{
"type": "function",
"function": {
"name": "average",
"description": "Calculates the arithmetic mean of a list of numbers.",
"parameters": {
"type": "object",
"properties": {
"numbers": {
"type": "array",
"description": "The list of number... | xlam | native | 34,053 | null |
[
{
"role": "system",
"content": "You are an expert in composing functions. You are given a question and a set of possible functions. Based on the question, you will need to make one or more function/tool calls to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the f... | [] | nemotron_bfcl_fmt | bfcl_prompting | 19,446 | null |
[
{
"role": "user",
"content": "I need you to help me track motorsport coverage related to the Boston Red Sox's recent partnership with a racing team. First, check Motorsport Today for any mentions of this collaboration, then use the Formula 1 News Hub to verify if there's corresponding coverage in internatio... | [
{
"type": "function",
"function": {
"name": "news_from_individual_source",
"description": "Retrieves Formula 1 news articles from a specified media source. Enables targeted content retrieval from selected F1 news outlets.",
"parameters": {
"type": "object",
"properties": {
... | nemotron | native | 38,209 | null |
[
{
"role": "user",
"content": "I need help finding the perfect standing desk for my home office that also has unique design elements to inspire my art. Let's start by searching Amazon for \"adjustable height desk with artistic design\" using get_amazon_search_results. If that doesn't return at least 5 releva... | [
{
"type": "function",
"function": {
"name": "get_amazon_product_offers",
"description": "Retrieve current Amazon product offers including pricing, availability, and seller information for a specified product. Useful for price tracking, competitive analysis, or market research.",
"parameter... | nemotron | native | 31,284 | null |
[
{
"role": "user",
"content": "I'm planning a sports analytics workshop for my coding mentees, focusing on the Boise State Broncos' recent performance. Could you help me gather data? Let's start by finding their most recent tournament participation. First, get me the list of tournaments in the US college spo... | [
{
"type": "function",
"function": {
"name": "daily_match_list_all",
"description": "Retrieves a comprehensive list of matches (scheduled, live, and completed) for a specified date within the ±7 day window relative to the current date. Data is only available for dates ranging from 7 days before t... | nemotron | native | 50,166 | null |
[
{
"role": "system",
"content": "You are an expert in composing functions. You are given a question and a set of possible functions. Based on the question, you will need to make one or more function/tool calls to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the f... | [] | xlam_bfcl_fmt | bfcl_prompting | 22,892 | null |
[
{
"role": "user",
"content": "Fetch the median price of Bitcoin over a 1-hour interval."
},
{
"role": "assistant",
"content": null,
"tool_calls": [
{
"id": "call_1489_0",
"type": "function",
"function": {
"name": "medprice",
"arguments": {
... | [
{
"type": "function",
"function": {
"name": "mama",
"description": "Fetches the MESA Adaptive Moving Average (MAMA) for a given instrument symbol and time interval from the Twelve Data API.",
"parameters": {
"type": "object",
"properties": {
"interval": {
... | xlam | native | 1,489 | null |
[
{
"role": "user",
"content": "I need to analyze the stock performance of a company called TechFusion Corp. First, use get_6_daily with the keyword \"TechFusion\" and a start date of 2023-10-01 to retrieve its daily stock data. From the closing prices in that dataset, calculate the average using compute_aver... | [
{
"type": "function",
"function": {
"name": "capitalizer",
"description": "Transforms text capitalization according to specified language rules and target format. Applies appropriate casing conventions based on the language's grammatical rules. Returns the transformed text as a string.",
"... | nemotron | native | 36,606 | null |
[
{
"role": "system",
"content": "You are an expert in composing functions. You are given a question and a set of possible functions. Based on the question, you will need to make one or more function/tool calls to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the f... | [] | nemotron_bfcl_fmt | bfcl_prompting | 43,541 | null |
[
{
"role": "user",
"content": "I need to know about the state of 'Pennsylvania' and 'New Jersey', and also search YouTube for 'DIY projects'."
},
{
"role": "assistant",
"content": null,
"tool_calls": [
{
"id": "call_26445_0",
"type": "function",
"function": {
... | [
{
"type": "function",
"function": {
"name": "codes",
"description": "This function searches for information based on the provided code using the Postali API.",
"parameters": {
"type": "object",
"properties": {
"code": {
"type": "string",
"d... | xlam | native | 26,445 | null |
[
{
"role": "system",
"content": "You are an expert in composing functions. You are given a question and a set of possible functions. Based on the question, you will need to make one or more function/tool calls to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the f... | [] | xlam_bfcl_fmt | bfcl_prompting | 20,327 | null |
[
{
"role": "user",
"content": "I'm evaluating a $50,000 research equipment investment for my medical team. First, calculate its 5-year compound growth at 7% annual interest. Then, determine the capital gains tax on returns at 15%. Finally, convert the final amount to Euros for our German collaborators. Let m... | [
{
"type": "function",
"function": {
"name": "get_calculate_investment",
"description": "Performs comprehensive investment calculations including simple/compound interest, return on investment, capital gains tax, and annual percentage yield. Converts results between currencies and supports format... | nemotron | native | 23,333 | null |
[
{
"role": "system",
"content": "You are an expert in composing functions. You are given a question and a set of possible functions. Based on the question, you will need to make one or more function/tool calls to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the f... | [] | nemotron_bfcl_fmt | bfcl_prompting | 46,981 | null |
[
{
"role": "system",
"content": "You are a helpful assistant with access to the following functions. Use them if required.\n\n```json\n[\n {\n \"name\": \"holidays\",\n \"description\": \"Retrieves a comprehensive list of recognized public holidays globally, including details such as holiday names, da... | null | nemotron | bfcl | 15,735 | null |
[
{
"role": "system",
"content": "You are a helpful assistant with access to the following functions. Use them if required.\n\n```json\n[\n {\n \"name\": \"for_sale\",\n \"description\": \"Retrieves residential property listings available for sale from Zoopla within a specified UK postal code area. Ret... | null | nemotron | bfcl | 39,594 | null |
[
{
"role": "user",
"content": "How do I log in a user named 'David' with the password 'secure012' using the platformbil module?"
},
{
"role": "assistant",
"content": null,
"tool_calls": [
{
"id": "call_17642_0",
"type": "function",
"function": {
"name":... | [
{
"type": "function",
"function": {
"name": "loginuser",
"description": "This function logs in a user by sending their username and password to the specified API endpoint using the provided RapidAPI key.",
"parameters": {
"type": "object",
"properties": {
"usernam... | xlam | native | 17,642 | null |
[
{
"role": "system",
"content": "You are an expert in composing functions. You are given a question and a set of possible functions. Based on the question, you will need to make one or more function/tool calls to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the f... | [] | nemotron_bfcl_fmt | bfcl_prompting | 23,756 | null |
[
{
"role": "user",
"content": "Perform a Chi-Square independence test on a 2x2 contingency table with values [[125, 135], [145, 155]] and a significance level of 0.0001. Also, find the average of the numbers [25, 50, 75, 100, 125]."
},
{
"role": "assistant",
"content": null,
"tool_calls": [
... | [
{
"type": "function",
"function": {
"name": "chi_square_independence_test",
"description": "Performs a Chi-Square test for independence on a 2x2 contingency table.",
"parameters": {
"type": "object",
"properties": {
"contingency_table": {
"type": "arra... | xlam | native | 38,377 | null |
[
{
"role": "system",
"content": "You are a helpful assistant with access to the following functions. Use them if required.\n\n```json\n[\n {\n \"name\": \"get_range\",\n \"description\": \"Helper function to format the range string.\",\n \"parameters\": {\n \"start\": {\n \"description\... | null | xlam | bfcl | 19,250 | null |
[
{
"role": "user",
"content": "I have two lists [1, 1, 1] and [2, 2, 2]. I want to merge them into a single sorted list. I also have a list of numbers [7.0, 7.0, 7.0, 7.0] and I want to find out their standard deviation. Lastly, I have two matrices [[1, 0], [0, 1]] and [[4, 5], [6, 7]] and I want to multiply... | [
{
"type": "function",
"function": {
"name": "merge_sorted_lists",
"description": "Merges two sorted lists into a single sorted list.",
"parameters": {
"type": "object",
"properties": {
"list1": {
"type": "array",
"description": "The first s... | xlam | native | 48,286 | null |
[
{
"role": "system",
"content": "Today is 2020-05-01 (Friday). The current time is 10:00 AM.\nYou are an AI assistant for user Bob.\nYou can help solve the task step by step.\nYou can interact with an operation system and use apps to solve the task.\nYou must output ONLY a single JSON object per turn — no ex... | [] | envgen_v2 | null | null | {
"benchmark": "officebench",
"format": "no_tool",
"env_id": "step2",
"env_path": "/tmp/push500/ob_mode3_ext/officebench/3-94-0-decomp18/step2",
"source_task_id": "step2",
"model": "deepseek/deepseek-v4-pro",
"provider": "deepseek",
"reasoning_effort": "low",
"attempt_idx": 1,
"passed": true,
"sco... |
[
{
"role": "system",
"content": "You are a helpful assistant with access to the following functions. Use them if required.\n\n```json\n[\n {\n \"name\": \"trip_details\",\n \"description\": \"Fetches the details of a trip using the given trip UID from the Flixbus API.\",\n \"parameters\": {\n ... | null | xlam | bfcl | 17,780 | null |
[
{
"role": "system",
"content": "You are a helpful assistant with access to the following functions. Use them if required.\n\n```json\n[\n {\n \"name\": \"route_and_directions\",\n \"description\": \"Generates optimized routes and detailed turn-by-turn directions between specified waypoints using the ... | null | nemotron | bfcl | 29,211 | null |
[
{
"role": "user",
"content": "I'm researching Litecoin and need the hash of block 789012. Can you get that for me?"
},
{
"role": "assistant",
"content": null,
"tool_calls": [
{
"id": "call_4977_0",
"type": "function",
"function": {
"name": "get_litecoi... | [
{
"type": "function",
"function": {
"name": "minus_di",
"description": "Fetches the Minus Directional Indicator (MINUS_DI) for a given financial instrument.",
"parameters": {
"type": "object",
"properties": {
"symbol": {
"type": "string",
"... | xlam | native | 4,977 | null |
[
{
"role": "user",
"content": "I'm looking for a torrent of the movie 'The Dark Knight'. Can you also generate a QR code for my website, 'example.com'? Additionally, I need WHOIS information for 'facebook.com' and product details for a product with ID 456."
},
{
"role": "assistant",
"content": nu... | [
{
"type": "function",
"function": {
"name": "get_from_1337_x",
"description": "Fetches torrent data for a given search topic from the 1337x website using the RapidAPI service.",
"parameters": {
"type": "object",
"properties": {
"searchtopic": {
"type":... | xlam | native | 43,301 | null |
[
{
"role": "user",
"content": "For the decimal numbers -1, 0, and 1, compute the set bit count but ignore the negative input"
},
{
"role": "assistant",
"content": null,
"tool_calls": [
{
"id": "call_59462_0",
"type": "function",
"function": {
"name": "c... | [
{
"type": "function",
"function": {
"name": "count_bits",
"description": "Counts the number of set bits (1's) in the binary representation of a number.",
"parameters": {
"type": "object",
"properties": {
"num": {
"type": "integer",
"descrip... | xlam | native | 59,462 | null |
[
{
"role": "system",
"content": "You are an expert in composing functions. You are given a question and a set of possible functions. Based on the question, you will need to make one or more function/tool calls to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the f... | [] | nemotron_bfcl_fmt | bfcl_prompting | 13,691 | null |
[
{
"role": "system",
"content": "You are a helpful assistant with access to the following functions. Use them if required.\n\n```json\n[\n {\n \"name\": \"get_specific_dessert\",\n \"description\": \"Fetch a specific dessert's details using its ID from the Pizza and Desserts API.\",\n \"parameters\... | null | xlam | bfcl | 10,828 | null |
[
{
"role": "user",
"content": "Can you find homeless shelters within a 5-mile radius of latitude 34.0522 and longitude -118.2437?"
},
{
"role": "assistant",
"content": null,
"tool_calls": [
{
"id": "call_18075_0",
"type": "function",
"function": {
"name... | [
{
"type": "function",
"function": {
"name": "by_location",
"description": "Searches for homeless shelters based on provided geographical coordinates and radius.",
"parameters": {
"type": "object",
"properties": {
"lat": {
"type": "string",
... | xlam | native | 18,075 | null |
[
{
"role": "system",
"content": "You are an expert in composing functions. You are given a question and a set of possible functions. Based on the question, you will need to make one or more function/tool calls to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the f... | [] | nemotron_bfcl_fmt | bfcl_prompting | 43,848 | null |
[
{
"role": "system",
"content": "You are an expert in composing functions. You are given a question and a set of possible functions. Based on the question, you will need to make one or more function/tool calls to achieve the purpose.\n\nIf you decide to invoke any of the function(s), you MUST put it in the f... | [] | nemotron_bfcl_fmt | bfcl_prompting | 36,515 | null |
cyan-agentic-v6.1
Agentic SFT mix used to train gravity-sft-v6.1-agentic. Extends
trillionlabs/cyan-agentic-v6 by adding BFCL prompting-mode duplicates of the
xlam / nemotron rows: the same underlying calls emitted in Python-syntax
([fn(arg=val)]) with a canonical BFCL system prompt, so the model sees each
example in two formats (structured tool_calls and BFCL Python-syntax).
Composition
| source | rows | format |
|---|---|---|
xlam |
120,000 | tool_calls (role=tool) |
nemotron |
101,480 | tool_calls (role=tool) |
xlam_bfcl_fmt |
60,000 | BFCL Python-syntax ([fn(arg=val)]) |
nemotron_bfcl_fmt |
48,721 | BFCL Python-syntax ([fn(arg=val)]) |
envgen_v2 |
13,891 | mixed (terminalbench + officebench), per-turn mask_loss |
| TOTAL | 344,092 |
Structure
Single file: data.chunk.000.jsonl (~2.2 GB). Each row is a JSON object with:
messages— list of{role, content, ...}turns. Role is one ofsystem,user,assistant,tool.tools— optional list of tool schemas. Some sources embed the tool list into the system-prompt text instead.source— one of the strings above.record_idx— stable per-source identifier.
Assistant turns in envgen_v2 carry per-turn quality annotations:
mask_loss(int, 0/1) —1means "mask this turn out of the training loss";0means "train on this turn".quality_category(str) — one ofcorrect_action,looped_stuck,mistake_later_fixed.reasoning_content(str, optional).
BFCL prompting-mode format
The xlam_bfcl_fmt / nemotron_bfcl_fmt variants use the BFCL
prompting-mode convention:
- System prompt instructs the model to emit calls as
[fn_name1(arg=val, ...), fn_name2(...)]and nothing else. - Observation: tool responses are delivered as a user turn whose
content is a stringified list-of-dicts, e.g.
[{'role': 'tool', 'name': "fn(arg='val')", 'content': "<output>"}, ...].
Loading
from datasets import load_dataset
ds = load_dataset("trillionlabs/cyan-agentic-v6.1", split="train")
Chat template
Training used the GLM-style template with {% generation %} markers that
respect the per-turn mask_loss flag.
Lineage
- Base:
trillionlabs/cyan-agentic-v6(xlam / nemotron / envgen_v2). - Superseded by:
trillionlabs/cyan-agentic-v7(adds openagent-v1 loop recovery + endless-terminal SFT).
License
Apache 2.0. Components inherit their upstream licenses.
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