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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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{"questions":{"next_tool":{"criteria":{"Ecosystem.evaluate":"Evaluates the health of an ecosystem based on the diversity and abundance of plant species. Arguments: (speciesList: array, region: string).","Get Matchup Related Markets":"Retrieve matchup-related markets for a specific matchup, given the matchup ID. Argumen...
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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{"questions":{"next_tool":{"criteria":{"E-Sports Player Image":"Retrieve a PNG image of an e-sports player. Arguments: (playerId: number).","Generate Random Crypto Assets":"This API generates a list of fake crypto assets with customizable size. Arguments: (size: number).","Items":"Retrieve item details such as descript...
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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{"questions":{"category":{"instructions":"Argument `category` of get_news_headlines: The category of news, e.g. sports, politics","type":"extract"},"country":{"instructions":"Argument `country` of get_news_headlines: The country for which news headlines are required","type":"extract"}},"state":"User: Can you get me the...
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minifield.magicbox/1.0
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{"questions":{"next_tool":{"criteria":{"Get Shop Information by Seller ID":"Retrieves detailed information about a shop by its seller ID. Arguments: (sellerId: number).","Get User Medias":"Retrieve a user's media content from Instagram. Arguments: (user_id: string, batch_size: number, next_cursor: string).","GetDocumen...
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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{"questions":{"next_tool":{"criteria":{"Billboard 200":"Retrieve the Billboard 200 chart, a weekly ranking of the most popular albums in the United States, based on sales and streaming activity. Arguments: (string: string, range: string).","Get User Dialog JSON":"Retrieves the dialog JSON for a specified user in the Wa...
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minifield.magicbox/1.0
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{"questions":{"next_tool":{"criteria":{"Get Daily 3 Recent Draw":"Retrieve the most recent draw results for the Daily 3 lottery game. Arguments: (string_range: string).","Get Videos":"Retrieve promoted and trailer video clips for a specific movie title. Arguments: (tconst: string, region: string, limit: number).","GetC...
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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{"questions":{"next_tool":{"criteria":{"Baseball Live Matches API":"Retrieve live matches for baseball, including current scores, teams, and game details. Arguments: (league: string, string: string).","Get MRT Train Data by ID":"Retrieves MRT train data by a given ID. Arguments: (id: string).","List Services":"Retrieve...
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minifield.magicbox/1.0
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{"questions":{"next_tool":{"criteria":{"EventParticipantManager.addParticipants":"Adds participants to an event and sends out invitations. Arguments: (eventInfo: object, participants: array).","Get Full Credits":"Retrieve the full list of casts and crews for a specific movie title. Arguments: (tconst: string).","Get La...
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minifield.magicbox/1.0
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{"questions":{"next_tool":{"criteria":{"get_news_headlines":"Get the latest news headlines. Arguments: (country: string, category: string).","none":"No listed tool fits the request, or every needed call has been made."},"instructions":"Which tool should be called next for the user's request? Choose none when no listed ...
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minifield.magicbox/1.0
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{"questions":{"next_tool":{"criteria":{"Generate TikTok Signature":"Generate a signature for a given TikTok API URL. Arguments: (url: string).","Get All Desserts":"This endpoint returns a list of all desserts. Arguments: ().","Language Detection":"Detects the language of a given text input. Arguments: (text: string).",...
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minifield.magicbox/1.0
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{"questions":{"next_tool":{"criteria":{"Get Cricket Records":"Retrieve cricket records based on various filters. Arguments: (statsType: string, year: integer, opponent: integer, team: integer, matchType: integer).","GitHub Username Checker":"Check if a username is available on GitHub. Arguments: (username: string).","c...
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minifield.magicbox/1.0
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{"questions":{"category":{"instructions":"Argument `category` of get_news_headlines: The desired news category","type":"extract"}},"state":"User: Hi, can you get me the latest news headlines in technology?\nCalled: get_news_headlines({\"category\": \"technology\"})\nResult: {\"headlines\": [\"Tech giant releases new pr...
{"category":{"has_answer":true,"span":[370,376],"text":"sports"}}
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minifield.magicbox/1.0
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minifield.magicbox/1.0
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{"questions":{"next_tool":{"criteria":{"game_details":"Fetches detailed information about a game using the provided parameters. Arguments: (timezone: string, gameid: integer, langid: integer, lastupdateid: integer, matchupid: integer).","getColonizationProgress":"Retrieve the current progress of space colonization. Arg...
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minifield.magicbox/1.0
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{"questions":{"next_tool":{"criteria":{"convert_temperature":"Convert a temperature from one unit to another. Arguments: (temperature: number, source_unit: string, target_unit: string).","none":"No listed tool fits the request, or every needed call has been made."},"instructions":"Which tool should be called next for t...
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{"conversion":{"acceptable_spans":{},"dropped_questions":{},"field_chunk":0,"window":[0,473],"window_index":0},"document":{"adapter":"typed","conversion":"native_typed","gold":null,"level":2,"options":2,"quality":{},"record":"tool_choice","renamed":false,"source":"glaive","stage":0,"subset":"toolcalls","upstream_id":"e...
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minifield.magicbox/1.0
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004b9f13a33187a39e94f4dfcc90d3e136f6e5b1212342f53e87619931f75c06
ood
{"questions":{"next_tool":{"criteria":{"convert_temperature":"Convert temperature from one unit to another. Arguments: (temperature: number, from_unit: string, to_unit: string).","getFacilityAvailability":"Retrieve the availability status of a recreation facility. Arguments: (facility_name: string, date: string, time_r...
{"next_tool":{"choice":"convert_temperature"}}
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End of preview. Expand in Data Studio

Tool calls v1 (dataset revision 3)

Staged tool-calling records for training a small encoder that picks the next tool and fills its arguments by pointing: at an option, or at a span of the request. Format: minifield.magicbox/1.0. request_json holds the text and questions; targets_json holds the answers.

Each assistant decision becomes up to 2 records from the same conversation:

  • Tool choice: "Which tool should be called next?" over the offered tools plus none (no listed tool fits, or every needed call is done). When several independent calls are still needed, the target is spread evenly over all of them.
  • Arguments: one question per argument of the chosen tool. Enums are choices, booleans yes/no, and strings or numbers are extracted as an exact span of the user's words (or of an earlier result, for chained calls), or "not stated".

The model is non-interactive: questions to the user are removed and assistant text is never shown.

Curriculum stages

Train the stages in order. Each stage after 0 also contains a replay sample of earlier stages, half its own size.

Stage What it teaches Records Train Validation Test OOD
0 One offered tool; confusers grow 0, 1, 3, 7 36,368 30,883 329 269 4,887
1 Single hop; harder confusers; ~30% of records rename tools to codes 170,894 151,436 1,630 1,514 16,314
2 Several independent calls in one turn, and the done decision 149,680 130,501 1,282 1,309 16,588
3 Chained calls that need an earlier result 24,435 22,707 262 283 1,183

OOD records use tools held out of training entirely (as answers and as confusers): about 5% of tool names from Glaive, ToolACE, xLAM and the synthetic conversations. Most stage 3 OOD records come from the synthetic conversations; Nexus tools aren't held out.

Sources

Each source keeps its own terms; check them before use.

Cleaning

  • Answers are derived mechanically from each conversation's calls. The synthetic conversations themselves are model-written; the public sources are not.
  • Synthetic conversations pass a checker that runs the same conversion rules: at least 1 chained call, and every argument value occurring exactly once where it may be extracted. Every one was then read by an LLM reviewer; the 42 of 2,080 flagged (ambiguous picks, unhandled requests, wrongly omitted arguments, implausible results) were removed.
  • A call whose required argument can't be read from the text loses its argument record; its tool choice is kept.
  • Extraction spans are whole words occurring once, taken from the user's words (or a result, for chained calls).
  • Nexus is limited to steps the text decides: stories and tasks whose text was moved into the user's message, tags the user states, package checks and dismissals. Its scripted setup steps and inferred values are removed.
  • Records containing non-Latin scripts are dropped; the model reads English.
  • Duplicate requests are capped, and none is at most 25% of a stage's tool choices.

Four audit rounds by an LLM reviewer (about 1,000 records) guided these rules. After the fixes, the reviewed samples showed no wrong labels; about 5–10% of argument records remain ambiguous, mostly requests listing several values for a single-value argument.

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