Dataset Viewer
Auto-converted to Parquet Duplicate
input_text
stringlengths
323
1.64k
target_text
stringlengths
110
4.86k
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: live_giveaways_by_type User Query: Where can I find live giveaways for beta access and games? Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JS...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "live_giveaways_by_type", "arguments": {"type": "beta"}}, {"name": "live_giveaways_by_type", "arguments": {"type": "game"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: peers, web_chain_details User Query: I need to understand the details of the Ethereum blockchain for my cryptocurrency project. Can you fetch the details for 'ethereum'? Return the correct funct...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "web_chain_details", "arguments": {"chain_slug": "ethereum"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: t3ma, stock_v2_get_profile User Query: What is the T3MA for 'ETH/BTC' using a 1h interval and a time period of 14? Return the correct function call(s) in valid JSON. If multiple calls are needed...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "t3ma", "arguments": {"symbol": "ETH/BTC", "interval": "1h", "time_period": 14}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_animes, list_titles User Query: List titles originally aired on networks '1' and '8', released after 2010, sorted by release date in descending order. Return the correct function call(s) in ...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "list_titles", "arguments": {"network_ids": "1,8", "release_date_start": 20110101, "sort_by": "release_date_desc"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: stagecompetitorstandings User Query: Fetch the competitor standings for the recently concluded stage 98765. Return the correct function call(s) in valid JSON. If multiple calls are needed, retur...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "stagecompetitorstandings", "arguments": {"is_id": 98765}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_product, product_id User Query: Fetch details for product 456789 with locale 'es_ES'. Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JSON a...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "product_id", "arguments": {"is_id": 456789, "locale": "es_ES"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_id, search_torrents, basic_info User Query: Identify the ID of 'Pulp Fiction' and search for torrents related to it. Return the correct function call(s) in valid JSON. If multiple calls are ...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_id", "arguments": {"q": "Pulp Fiction"}}, {"name": "search_torrents", "arguments": {"keywords": "Pulp Fiction", "quantity": 10}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: time_zone_api User Query: Can you find the time zone for a Canadian postal code G2J and a latitude-longitude pair of 48.8567,2.3508? Return the correct function call(s) in valid JSON. If multipl...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "time_zone_api", "arguments": {"q": "G2J"}}, {"name": "time_zone_api", "arguments": {"q": "48.8567,2.3508"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: find_peak_element, light_travel_time User Query: Determine the peak of the sequence [44, 46, 48, 50, 52] and the light travel time for 25 light years. Return the correct function call(s) in vali...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "find_peak_element", "arguments": {"nums": [44, 46, 48, 50, 52]}}, {"name": "light_travel_time", "arguments": {"distance_in_light_years": 25}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: availability User Query: Is 'https://www.apple.com' available in the Wayback Machine on September 9, 2015? Return the correct function call(s) in valid JSON. If multiple calls are needed, return...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "availability", "arguments": {"url": "https://www.apple.com", "timestamp": "20150909"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: poor_backlinks, get_random_user, company_search, album_tracks, qrcode User Query: Can you fetch poor quality backlinks for the domain 'example.com'? Also, generate a QR code for the text 'Visit ...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "poor_backlinks", "arguments": {"domain": "example.com"}}, {"name": "qrcode", "arguments": {"data": "Visit our website at example.com"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: auto_complete_deprecating, auto_complete User Query: Fetch auto-complete results for 'winter coat' from Kohls and 'kitchen appliance' from Wayfair. Return the correct function call(s) in valid J...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "auto_complete_deprecating", "arguments": {"query": "winter coat"}}, {"name": "auto_complete", "arguments": {"query": "kitchen appliance"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: matchschedules User Query: I need the schedules of matches happening on February 28, 2024. Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JSON ...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "matchschedules", "arguments": {"day": 28, "month": 2, "year": 2024}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_ip_location, structural_analysis, reserve_hotel_room, simulate_query_database, place_safeway_order User Query: I need to order 3 cartons of milk and 2 loaves of bread from the Safeway in Pal...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "place_safeway_order", "arguments": {"location": "Palo Alto, CA", "items": ["milk", "bread"], "quantity": [3, 2]}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_search_user User Query: You are researching TikTok trends and need to look up the profiles of 'trendsetter1' and 'viralvideo2'. How would you implement this using the 'get_search_user' funct...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_search_user", "arguments": {"is_id": "trendsetter1"}}, {"name": "get_search_user", "arguments": {"is_id": "viralvideo2"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_post, hashtag_feed_video_posts_v2 User Query: Could you find the details of the TikTok post with the ID '6923456789012345678'? Also, provide me with the latest posts under '#technology'. Ret...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_post", "arguments": {"aweme_id": "6923456789012345678"}}, {"name": "hashtag_feed_video_posts_v2", "arguments": {"name": "technology"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_meta_data User Query: Please get the meta data for cryptocurrency markets in French (France) with UTC+1 offset. Return the correct function call(s) in valid JSON. If multiple calls are neede...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_meta_data", "arguments": {"locale_info": "fr-FR", "time_utc_offset": 3600}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_highlight_item, channel_shorts User Query: Retrieve the highlight items for 'art_collector' on Instagram and the shorts from 'HistoryBuffs' on YouTube. Return the correct function call(s) in...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_highlight_item", "arguments": {"is_id": "art_collector"}}, {"name": "channel_shorts", "arguments": {"channel_id": "HistoryBuffs"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: calculate_standard_deviation, future_investment_value User Query: Future value of 2000 dollars at 2% for 8 years? Return the correct function call(s) in valid JSON. If multiple calls are needed,...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "future_investment_value", "arguments": {"present_value": 2000, "annual_interest_rate": 0.02, "years": 8}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_all_bodies_positions User Query: For a star party in Cape Town on April 10th, 2023, at 10 PM, what celestial bodies will be in the sky? Return the correct function call(s) in valid JSON. If ...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_all_bodies_positions", "arguments": {"latitude": -34, "longitude": 18, "from_date": "2023-04-10", "to_date": "2023-04-10", "time": "22:00:00"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: binary_addition, create_histogram User Query: What is the binary sum of 10010 and 11101? Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JSON ar...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "binary_addition", "arguments": {"a": "10010", "b": "11101"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: facebook_ad_copy, get_product User Query: Fetch detailed information about a product with ID 12345. Return the correct function call(s) in valid JSON. If multiple calls are needed, return them a...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_product", "arguments": {"is_id": 12345}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: recommend User Query: Could you fetch recommendations for experiment 24680 in the technology sector to improve user experience? Return the correct function call(s) in valid JSON. If multiple cal...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "recommend", "arguments": {"experiment_id": 24680}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: location, uniquestageimage, pitstopdataforarace, search_team User Query: Can you fetch the location details for the NCAA Final Four event in 2019? Also, provide the unique stage image for the 5t...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "location", "arguments": {"identifier": "2019"}}, {"name": "uniquestageimage", "arguments": {"is_id": 5}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: choice_endpoint, video_comments User Query: In a Rock-Paper-Scissors game, what does the API say when I choose 'rock'? Furthermore, fetch comments for the video 'L0p3kJQP7kiw5Fk' with a US geolo...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "choice_endpoint", "arguments": {"choice": "rock"}}, {"name": "video_comments", "arguments": {"is_id": "L0p3kJQP7kiw5Fk", "gl": "US"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: estimated_salary, getrandommovie User Query: Fetch 3 random movies from the database. Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JSON array...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "getrandommovie", "arguments": {"count": 3}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: stock_insider_holders_stock, market_trends, stock_v2_get_trading_information, coin User Query: Can you provide the insider holders' information for Tesla's stock and the latest market trends in ...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "stock_insider_holders_stock", "arguments": {"symbol": "TSLA"}}, {"name": "market_trends", "arguments": {"trend_type": "CRYPTO", "country": "us"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: actors_list_most_popular_celebs, get_news User Query: I'm curious about the top actors in Italy and any recent news about the environment from Italy. Return the correct function call(s) in valid...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "actors_list_most_popular_celebs", "arguments": {"currentcountry": "IT"}}, {"name": "get_news", "arguments": {"category": "environment", "region": "it"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: vimeo, get_user_pins User Query: Check if the Vimeo username 'john_doe_artist' is available. Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JSO...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "vimeo", "arguments": {"username": "john_doe_artist"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: is_leap_year User Query: Is the year 2000 a leap year? Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JSON array. Do not include extraneous tex...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "is_leap_year", "arguments": {"year": 2000}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: game_matrix_gamepk, ligue_1_standings, leaguehometeamevents, prematch_event User Query: Provide pre-match event details for event ID 5678 in English and Spanish. Return the correct function call...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "prematch_event", "arguments": {"lang": "en", "evt": 5678}}, {"name": "prematch_event", "arguments": {"lang": "es", "evt": 5678}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: competitions_id User Query: I'm looking for information on competitions 'comp001' and 'comp002'. Can you help? Return the correct function call(s) in valid JSON. If multiple calls are needed, re...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "competitions_id", "arguments": {"is_id": "comp001"}}, {"name": "competitions_id", "arguments": {"is_id": "comp002"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_dna_sequence, predict_forest_area, project_investment_growth, get_ip_zipcode, project_population, assess_diabetes_risk User Query: Project the investment growth for an initial amount of $100...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "project_investment_growth", "arguments": {"principal": 10000, "annual_addition": 1000, "years": 5, "return_rate": 0.05, "inflation": [0.02, 0.025, 0.03, 0.035, 0.04], "inflation_adjusted": true}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: filter_and_query_naics_description, search_results, v1_cars, get_profile_series User Query: Retrieve time series snapshots for profile ID '12345'. Return the correct function call(s) in valid JS...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_profile_series", "arguments": {"profile_id": "12345"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_data_entity_uid, check_1_param, getorderbyid User Query: What is the entity information for UID 654321 and what are the details of order 7? Return the correct function call(s) in valid JSON....
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_data_entity_uid", "arguments": {"uid": 654321}}, {"name": "getorderbyid", "arguments": {"orderid": 7}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: predict_evolution_rate, get_ip_location, place_safeway_order, structural_analysis User Query: Place an order at the Safeway store in 'San Francisco, CA' for 3 apples, 2 loaves of bread, and 1 ga...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "place_safeway_order", "arguments": {"location": "San Francisco, CA", "items": ["apples", "bread", "milk"], "quantity": [3, 2, 1]}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: teams_affiliates_teamids, games_esports, constructorstandingsafterarace, players_photo, fighter User Query: I need the photo of soccer player with ID 789. Return the correct function call(s) in ...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "players_photo", "arguments": {"player_id": 789}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: consumers_detail User Query: What are the profiles of consumers 'ABC123', 'DEF456', and 'GHI789'? Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as ...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "consumers_detail", "arguments": {"is_id": "ABC123"}}, {"name": "consumers_detail", "arguments": {"is_id": "DEF456"}}, {"name": "consumers_detail", "arguments": {"is_id": "GHI789"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_3_month_historical_daily_prices, getlistbysecuritiescode User Query: Could you find the historical daily prices for Netflix and Adobe stocks for the past three months? Return the correct fun...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_3_month_historical_daily_prices", "arguments": {"ticker": "NFLX"}}, {"name": "get_3_month_historical_daily_prices", "arguments": {"ticker": "ADBE"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: categories_list, users, qnas_list User Query: Can you fetch the categories and their child categories for the root category ID 214970 from Wayfair? Return the correct function call(s) in valid J...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "categories_list", "arguments": {"caid": 214970}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: royal_matches, v1_trivia, getgamelist, matchmaking_matches User Query: Retrieve the first page of games from the EvoSiss Game Database. Return the correct function call(s) in valid JSON. If mult...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "getgamelist", "arguments": {"page": 1}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: search, states_search, autosuggest, vin_decoder_lite User Query: Find articles from the last week about COVID-19 in the UK. Also, suggest keywords for 'healthcare technology'. Return the correct...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "search", "arguments": {"q": "COVID-19", "gl": "UK", "tbs": "qdr:w"}}, {"name": "autosuggest", "arguments": {"q": "healthcare technology"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: following_by_username, motivation_quote User Query: Fetch a motivational quote about success. Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JS...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "motivation_quote", "arguments": {"quotes": "success"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: rental_settings, get_breed_information, language_list User Query: List languages for Germany. Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JS...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "language_list", "arguments": {"country": "DE"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: getlistbysecuritiescode User Query: Could you provide the securities report for Rakuten? Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JSON ar...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "getlistbysecuritiescode", "arguments": {"securities_code": 4755}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: find_minimum_rotated_sorted_array, find_n_largest_numbers User Query: Find the minimum element in the rotated sorted array [4, 5, 6, 7, 0, 1, 2]. Return the correct function call(s) in valid JSO...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "find_minimum_rotated_sorted_array", "arguments": {"nums": [4, 5, 6, 7, 0, 1, 2]}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: auto_complete_deprecating User Query: What suggestions does the system offer for 'autum' and 'winer' in terms of seasonal clothing? Return the correct function call(s) in valid JSON. If multiple...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "auto_complete_deprecating", "arguments": {"query": "autum"}}, {"name": "auto_complete_deprecating", "arguments": {"query": "winer"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: calculate_age, find_first_non_repeating_char, longest_common_prefix, is_palindrome User Query: What is the longest common prefix of 'prefix', 'preamble', 'pretext'? Return the correct function c...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "longest_common_prefix", "arguments": {"strs": ["prefix", "preamble", "pretext"]}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: getlistings User Query: Retrieve the cheapest 15 townhouses in Delray Beach starting from the 5th listing. Return the correct function call(s) in valid JSON. If multiple calls are needed, return...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "getlistings", "arguments": {"sort": "PRICE_LOW", "offset": 5, "limit": 15, "city": "Delray Beach"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: autocomplete_search, get_random_challange, channel_videos User Query: Can you get a dirty drinking challenge and the latest short videos from a YouTube channel? Return the correct function call(...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_random_challange", "arguments": {"type": "dirty"}}, {"name": "channel_videos", "arguments": {"is_id": "UC-lHJZR3Gqxm24_Vd_AJ5Yw", "filter": "shorts_latest"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_post_comments, user_by_rest_id, followers, music_posts, tweet_retweets, user_info, tweet_detail_conversation User Query: Fetch the first 15 comments on a Twitter post with ID '13805000000000...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_post_comments", "arguments": {"pid": "1380500000000000000", "count": "15"}}, {"name": "followers", "arguments": {"user_id": "instagram_user_id_543", "batch_size": 25}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: user_search, user_by_rest_id, get_user_tweets, avatar, get_user_feed User Query: What are the details of the Twitter user with ID '1234567890' and fetch the feed of Instagram user with ID 987654...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "user_by_rest_id", "arguments": {"user_id": "1234567890"}}, {"name": "get_user_feed", "arguments": {"is_id": 9876543210}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_user_profile User Query: Fetch the profile of the Pinterest user 'fashion_insider'. Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JSON arr...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_user_profile", "arguments": {"username": "fashion_insider"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: draw_cards, min_meeting_rooms, is_valid_sudoku, calculate_electric_field User Query: Check if a Sudoku board is valid and draw 1 card. The board has numbers filled in a way that each row, column...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "is_valid_sudoku", "arguments": {"board": [[5, 3, ".", ".", 7, ".", ".", ".", "."], [6, ".", ".", 1, 9, 5, ".", ".", "."], [".", 9, 8, ".", ".", ".", ".", 6, "."], [8, ".", ".", ".", 6, ".", ".", ".", 3], [4, ".", ".", 8, ".", 3, "."...
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: net, get_user_following_list, get_hashtag, get_user_follow_list User Query: Get the following list of TikTok user '987654321' and the followers of the same user, with a count of 150 each. Return...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_user_following_list", "arguments": {"user_id": "987654321", "count": "150"}}, {"name": "get_user_follow_list", "arguments": {"sec_uid": "987654321", "type": "followers", "count": 150}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: getprojects, tirto_search, get_individual_news_from_source User Query: Get the latest AI projects from the first page and search Tirto for 'digital transformation' from page 1 with a limit of 5....
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "getprojects", "arguments": {"page": 1}}, {"name": "tirto_search", "arguments": {"limit": "5", "q": "digital transformation", "page": "1"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: canvas_genres_list User Query: I need a list of canvas genres in English and French. Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JSON array....
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "canvas_genres_list", "arguments": {"language": "en"}}, {"name": "canvas_genres_list", "arguments": {"language": "fr"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: products_get_reviews, get_likecounts_by_itemids_styleids, products_v2_list_recommended, products_search User Query: I need to search for 'decorative lamps' on Wayfair with page 2 and 24 items pe...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "products_search", "arguments": {"keyword": "decorative lamps", "curpage": 2, "itemsperpage": 24}}, {"name": "products_v2_list_recommended", "arguments": {"store_id": 400, "tcins": 55566}}, {"name": "products_v2_list_recommended", "a...
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: fish_api_fish_name, getsamples User Query: Provide information on 'Carp' and 'Eel' from the Fish API. Return the correct function call(s) in valid JSON. If multiple calls are needed, return them...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "fish_api_fish_name", "arguments": {"name": "Carp"}}, {"name": "fish_api_fish_name", "arguments": {"name": "Eel"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: polygon_area_shoelace, california_alimony, greatest_common_divisor User Query: Determine the GCD of 144 and 60. Return the correct function call(s) in valid JSON. If multiple calls are needed, r...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "greatest_common_divisor", "arguments": {"a": 144, "b": 60}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: country_region_cities, image_search, google_maps_reviews, get_a_specific_picture User Query: Search for visual matches and text detections for an image at 'https://example.com/sample.jpg' in the...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "image_search", "arguments": {"url": "https://example.com/sample.jpg", "country": "uk", "language": "en"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_video_urls, playlist User Query: I'm looking for the video URLs for the ID 'diyProjects' and the contents of the 'fitnessGoals' playlist. Return the correct function call(s) in valid JSON. I...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_video_urls", "arguments": {"is_id": "diyProjects"}}, {"name": "playlist", "arguments": {"is_id": "fitnessGoals"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: catalog_albums, get_radio_playlist User Query: Retrieve the catalog albums from Billboard for the week starting on July 4, 2023. Return the correct function call(s) in valid JSON. If multiple ca...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "catalog_albums", "arguments": {"week": "2023-07-04"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: gettotalsolved, get_all_posts User Query: I'm curious about Alice's progress on LeetCode. How many questions has she solved? Additionally, can you show me the first 5 posts from page 3 on Fluent...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "gettotalsolved", "arguments": {"username": "Alice"}}, {"name": "get_all_posts", "arguments": {"per_page": 5, "page": 3}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: difficulty, obd2_code User Query: What are the growing conditions for a strain classified as medium difficulty? Return the correct function call(s) in valid JSON. If multiple calls are needed, r...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "difficulty", "arguments": {"difficulty": "medium"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: calculate_electric_field User Query: What is the electric field intensity at 3 meters from a 2 Coulomb charge, and at 4 meters from a 3 Coulomb charge? Return the correct function call(s) in val...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "calculate_electric_field", "arguments": {"charge": 2, "distance": 3}}, {"name": "calculate_electric_field", "arguments": {"charge": 3, "distance": 4}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: analyze_social_group_dynamics, structural_analysis, simulate_query_database, is_valid_ip_address User Query: Analyze a group of 30 people, with 15 extroverts and 15 introverts, focusing on leade...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "analyze_social_group_dynamics", "arguments": {"total": 30, "extroverts": 15, "introverts": 15}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: music_search User Query: I need to find some motivational workout music, preferably with a strong beat. Also, could you look up some romantic ballads by Ed Sheeran and any new jazz releases? Ret...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "music_search", "arguments": {"query": "motivational workout music"}}, {"name": "music_search", "arguments": {"query": "Ed Sheeran romantic ballads"}}, {"name": "music_search", "arguments": {"query": "new jazz releases"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: getmediumquestion User Query: Can you provide the number of medium-level problems solved by 'frontend_dev' and 'backend_dev' on LeetCode? Return the correct function call(s) in valid JSON. If mu...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "getmediumquestion", "arguments": {"username": "frontend_dev"}}, {"name": "getmediumquestion", "arguments": {"username": "backend_dev"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: top_paid_ios_apps, get_vehicle_models, get_definitions, random_company User Query: Generate 10 random company names. Return the correct function call(s) in valid JSON. If multiple calls are need...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "random_company", "arguments": {"size": 10}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_event_detail, regular_dice_rolls, get_pokemon_data_by_name, get_item_by_id, v1_trivia, regular_dice, csw21 User Query: Please provide the data for the Pokemon named 'Charizard' and roll 3 di...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_pokemon_data_by_name", "arguments": {"name": "Charizard"}}, {"name": "regular_dice", "arguments": {"dice": 3}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: merge_dictionaries, find_longest_word, reverse_string, split_list, remove_duplicates, find_first_non_repeating_char User Query: Please reverse the string 'Hello, world!' Return the correct funct...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "reverse_string", "arguments": {"text": "Hello, world!"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_beverage_by_there_id User Query: Can you fetch details for beverages with IDs 'B1234', 'D5678', and 'C3456'? Return the correct function call(s) in valid JSON. If multiple calls are needed, ...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_beverage_by_there_id", "arguments": {"is_id": "B1234"}}, {"name": "get_beverage_by_there_id", "arguments": {"is_id": "D5678"}}, {"name": "get_beverage_by_there_id", "arguments": {"is_id": "C3456"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_status_cat_image, downloadminecraftjarchecksum, downloadoptimize User Query: Can you fetch the cat image for HTTP status 404 and the SHA-1 checksum for Minecraft version 1.16.5? Return the c...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_status_cat_image", "arguments": {"status": "404"}}, {"name": "downloadminecraftjarchecksum", "arguments": {"minecraftversion": "1.16.5"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: getqrcode User Query: Could you fetch the QR code for a phone with ID '1234567890' and another with ID '0987654321'? Return the correct function call(s) in valid JSON. If multiple calls are need...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "getqrcode", "arguments": {"phone_id": "1234567890"}}, {"name": "getqrcode", "arguments": {"phone_id": "0987654321"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: getforecastweather, location_search, get_weather_updates User Query: Can you tell me the weather forecast for New York City for the next 5 days in Celsius? Return the correct function call(s) in...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "getforecastweather", "arguments": {"q": "New York", "units": "metric", "cnt": 5}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: dashboard User Query: How can I view the dashboard for the 'MNO345' survey using login 'user345' and key 'api345'? Return the correct function call(s) in valid JSON. If multiple calls are needed...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "dashboard", "arguments": {"login_id": "user345", "api_key": "api345", "survey_code": "MNO345"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: qrcode, summary, tanggal, infobox User Query: Convert the Gregorian dates '2023-01-01' and '2023-12-31' to Hijri. Return the correct function call(s) in valid JSON. If multiple calls are needed,...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "tanggal", "arguments": {"tanggal": "2023-01-01"}}, {"name": "tanggal", "arguments": {"tanggal": "2023-12-31"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: probability_of_consecutive_rolls, average, binary_addition, is_power_of_two, calculate_distance, integrate, monthly_mortgage_payment User Query: Add the binary numbers '1110' and '0101'. Calcula...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "binary_addition", "arguments": {"a": "1110", "b": "0101"}}, {"name": "calculate_distance", "arguments": {"point1": [1, 2, 3], "point2": [4, 5, 6]}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: latest, top_headlines, news_source, overview, nft_news User Query: Get the latest news from the BBC source. Return the correct function call(s) in valid JSON. If multiple calls are needed, retur...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "news_source", "arguments": {"source_id": "bbc"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: geocode_city, predict_evolution_rate, get_pokemon_move_info, get_holidays_by_year User Query: What are the coordinates of Paris and Moscow? Return the correct function call(s) in valid JSON. If ...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "geocode_city", "arguments": {"city": "Paris"}}, {"name": "geocode_city", "arguments": {"city": "Moscow"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: facilities_lookup, api_v1_addresses, facilities_lookup, get_geocoding User Query: Could you provide me with the details of the top 5 hospitals in Douala, Cameroon, and the top 5 banks in Dar es ...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "facilities_lookup", "arguments": {"type": "hospital", "region": "Littoral", "city": "douala", "limit": 5}}, {"name": "facilities_lookup", "arguments": {"type": "bank", "region": "Dar es Salaam", "city": "Dar es Salaam", "limit": 5}}...
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: find_longest_word, flatten_list, calculate_factorial User Query: Flatten the nested list [['a', 'b'], ['c', ['d', 'e']]]. Also, what is the factorial of 8? Return the correct function call(s) in...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "flatten_list", "arguments": {"nested_list": [["a", "b"], ["c", ["d", "e"]]]}}, {"name": "calculate_factorial", "arguments": {"n": 8}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: indexes_intraday User Query: Please retrieve intraday data for the Dow Jones Industrial Average (DJI:INDEXUS) for the entire month of August 2023 with 30-minute intervals. Return the correct fun...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "indexes_intraday", "arguments": {"interval": 30, "is_from": "2023-08-01", "to": "2023-08-31", "symbol": "DJI:INDEXUS"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: dice_roll_probability User Query: How likely is it to roll a sum of 25 with six 6-sided dice? Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JS...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "dice_roll_probability", "arguments": {"target_sum": 25, "num_dice": 6, "num_faces": 6}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_all_kfc_locations User Query: What are the KFC locations listed on page 5? Return the correct function call(s) in valid JSON. If multiple calls are needed, return them as a JSON array. Do no...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_all_kfc_locations", "arguments": {"page": 5}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: artist_100, getallquotes, greatest_of_all_time_hot_100_songs User Query: Retrieve quotes from Radio World API, fetching 20 quotes per page and accessing the second page. Return the correct funct...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "getallquotes", "arguments": {"limit": 20, "page": 2}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_supported_coins_handler, get_scores_for_given_date, performance_stats_for_past_predictions User Query: List the supported coins and provide the performance stats for predictions in the 'spec...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_supported_coins_handler", "arguments": {}}, {"name": "performance_stats_for_past_predictions", "arguments": {"market": "special"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: stock_earnings, now, company_balance_sheet, v1_convertcurrency User Query: Get the annual balance sheet for Tesla in English and Spanish. Return the correct function call(s) in valid JSON. If mu...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "company_balance_sheet", "arguments": {"period": "ANNUAL", "symbol": "TSLA", "language": "en"}}, {"name": "company_balance_sheet", "arguments": {"period": "ANNUAL", "symbol": "TSLA", "language": "es"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: top_artists User Query: What were the top artists of 2019 according to the Billboard year-end chart? Return the correct function call(s) in valid JSON. If multiple calls are needed, return them ...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "top_artists", "arguments": {"year": "2019"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: products_search, get_1688_product_detail, product_reviews, stores, stores_list User Query: What are the details of the product with ID 123456789 on 1688? Return the correct function call(s) in v...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_1688_product_detail", "arguments": {"is_id": 123456789}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: activities, fixtures, constructors, fixtures_by_team_by_season User Query: What are the constructors for the Formula 1 season with ID 1001? Return the correct function call(s) in valid JSON. If ...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "constructors", "arguments": {"season_id": 1001}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: quotes_get_mashup, symbols_press_releases, stock_key_statistics_stock User Query: I need detailed information on the quote for Microsoft (MSFT). Return the correct function call(s) in valid JSON...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "quotes_get_mashup", "arguments": {"symbol": "MSFT"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: is_valid_palindrome, calculate_standard_deviation, wire_resistance, cosine_similarity User Query: Check if 'deed' is a palindrome and find the cosine similarity between [0.5, 0.5, 0.5] and [1, 1...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "is_valid_palindrome", "arguments": {"s": "deed"}}, {"name": "cosine_similarity", "arguments": {"vector_a": [0.5, 0.5, 0.5], "vector_b": [1, 1, 1]}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: web_chain_details, convert, converter User Query: What are the details of the Cardano blockchain? Also, convert 150 AUD to JPY. Return the correct function call(s) in valid JSON. If multiple cal...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "web_chain_details", "arguments": {"chain_slug": "cardano"}}, {"name": "convert", "arguments": {"is_from": "AUD", "amount": 150, "to": "JPY"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: free_games, get_player_info, season_wins_leaderboard_mw_2, upcoming User Query: Could you list the upcoming free games on Epic Games Store for Germany, and also provide the player stats for 'Pla...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "free_games", "arguments": {"country": "DE"}}, {"name": "get_player_info", "arguments": {"playerid": "Player123"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: max_points_on_line, cell_density, find_next_greater_element, average User Query: Calculate the cell density of a sample with an OD of 0.6 and a dilution of 500, using the default calibration fac...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "cell_density", "arguments": {"od": 0.6, "dilution": 500}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: market_capitalization, profile User Query: Can you tell me the current market cap of Bitcoin and the profile of Apple Inc.? I'm curious about their industry and location. Return the correct func...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "market_capitalization", "arguments": {"symbol": "BTC"}}, {"name": "profile", "arguments": {"symbol": "AAPL"}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: batting_average, triangle_area, find_pairs_with_sum User Query: Compute the area of a triangle with a base of 9.3 units and a height of 6.7 units. Return the correct function call(s) in valid JS...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "triangle_area", "arguments": {"base": 9.3, "height": 6.7}}]
You are a helpful reasoning model that can call tools by returning JSON. Below is the user's query. You can use these tools: get_movies_by_cast_name, actors_random User Query: Can you find movies featuring Tom Hanks and also give me a random list of 5 actors? Return the correct function call(s) in valid JSON. If multi...
<think>Step-by-step reasoning about how to handle the user's query.</think> [{"name": "get_movies_by_cast_name", "arguments": {"cast_name": "Tom Hanks"}}, {"name": "actors_random", "arguments": {"limit": 5}}]
End of preview. Expand in Data Studio

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Reformatted dataset from "Salesforce/xlam-function-calling-60k" (from Hugging Face) for the purposes of fine tuning LLMs for tool calling for the LangChain and LangGraph frameworks


license: mit

Downloads last month
13