Add the function-calling training pool

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+pool.jsonl filter=lfs diff=lfs merge=lfs -text
+sources/glaive/glaive-function-calling-v2.json filter=lfs diff=lfs merge=lfs -text
+sources/massive_agents/massive-full-converted-all-langs-with-id/af-ZA/input.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+license: cc-by-4.0
+pretty_name: Function Calling Training Pool
+language:
+- af
+- am
+- ar
+- az
+- bn
+- ca
+- cy
+- da
+- de
+- el
+- en
+- es
+- fa
+- fi
+- fr
+- he
+- hi
+- hu
+- hy
+- id
+- is
+- it
+- ja
+- jv
+- ka
+- km
+- kn
+- ko
+- lv
+- ml
+- mn
+- ms
+- my
+- nb
+- nl
+- pl
+- pt
+- ro
+- ru
+- sl
+- sq
+- sv
+- sw
+- ta
+- te
+- th
+- tl
+- tr
+- ur
+- vi
+- zh
+task_categories:
+- text-generation
+size_categories:
+- 100K<n<1M
+---
+
+# Function calling training pool
+
+Public function-calling data from five datasets, read at the pinned revisions named below and laid
+out twice. Train on either layer or on both.
+
+## `pool.jsonl`
+
+Every source rewritten into one shape, 195624 rows, one JSON object per line, with these fields.
+
+| Field | What it holds |
+|---|---|
+| `id` | a row identifier unique within this file |
+| `query` | the user's request, as its source publishes it |
+| `functions` | the declarations offered with the request, as a list of objects |
+| `calls` | the gold call or calls, each a `name` and an `arguments` object |
+| `gold` | which kind of answer the row carries: `call`, `no_call` or `none` |
+| `response` | the prose answer, on rows whose gold answer is not a call |
+| `language` | the language of the request |
+| `source` | the name of the source directory the row came from |
+| `source_repo`, `source_revision` | the dataset and the revision it was read at |
+| `source_file`, `source_row` | the raw file it came from and its row number there |
+| `source_id` | the identifier its source gives the row, where it gives one |
+| `provenance_class` | how the row came to exist |
+| `licence` | the licence of the source it came from |
+
+Which rows carry which. `gold` is `call` on 166268 rows, where `calls` holds one or more calls and
+`response` is null. It is `no_call` on 29344 rows, where the right answer is to make no call,
+`calls` is an empty list and `response` holds the prose answer the source gives instead, which is
+usually a refusal or a request for a missing argument. It is `none` on 12 rows, where the source
+carries no answer for the request or its answer could not be read, and `calls` is null: those rows
+are a request and a catalogue with no key, which is enough to sample from and not enough to
+imitate. Every row carries `query` and a non-empty `functions`.
+
+The declarations are kept in the shape each source publishes them in rather than converted to one
+schema, because the sources disagree about how to write a type and converting between them would
+invent information. Rows are deduplicated across sources on the request together with the names of
+the functions offered with it, keeping the first source that carries it in the order of the
+sections below.
+
+## `sources/`
+
+The same data untouched, 297996 rows, one directory per source, holding the files at the paths, in
+the format and with the fields its own repository publishes. Nothing here was renamed, reshaped,
+reordered or deduplicated, and the later turns of the multi-turn conversations that the rewritten
+layer cuts to their first exchange are all still here. Use this layer if you want a field the
+rewritten one drops, such as the acceptable-value lists of the MASSIVE answer keys, the rejected
+answers in the preference split, or the tool results that come back mid conversation.
+
+## The sources
+
+### `sources/massive_agents`
+
+Voice-assistant requests written by crowdworkers, localised into 51 further languages by
+professional human translators, with human intent and slot annotation, turned mechanically into
+calls against 55 hand-written function declarations. From `AmazonScience/massive-agents` at
+revision `b6156972182bdf34e68c5b5dfbfe6d30db82f104`, files
+`massive-full-converted-all-langs-with-id/af-ZA/input.jsonl`,
+`massive-full-converted-all-langs-with-id/af-ZA/golden.jsonl`,
+`massive-full-converted-all-langs-with-id/am-ET/input.jsonl` and 101 more. 47015 rows here, of
+which 46049 also appear in `pool.jsonl`. Provenance class `human`, licence `cc-by-4.0`. Its own
+fields are question, function as the 55 declarations offered with every request, gt as the answer
+key, id, language and test_category in every input.jsonl, and the same answer key on its own in
+every golden.jsonl, one line per request.
+
+Rewritten. In `pool.jsonl`, the request is question, the declarations are function, and the call
+is gt read as one name with the first acceptable value of each argument, dropping any argument
+whose first acceptable value is the empty string.
+
+Worth knowing. Every answer key is a single call, so this source teaches one call at a time and
+never several at once. The 55 declarations are repeated in full on every row, which is most of its
+size on disk. Its answer key gives a list of acceptable values per argument rather than one value,
+and an empty string in that list means the argument may be left out, which the rewritten layer
+resolves by taking the first value.
+
+### `sources/apigen`
+
+Requests and calls written by large language models over real API documentation and over
+synthesised Python functions, then filtered by a format check, by really executing the call and by
+a semantic check. The half marked xLAM was written by DeepSeek-V2-Chat and Mixtral-8x22B-Instruct
+over documentation collected from a public API marketplace, and the other half by
+Qwen2.5-72B-Instruct and Llama-3.1-70B-Instruct over invented functions. From
+`argilla/apigen-function-calling` at revision `170a8a7e0832101f2495a00c9ad9ba1821d3a9b0`, files
+`data/train-00000-of-00001.parquet`. 106350 rows here, of which 103014 also appear in
+`pool.jsonl`. Provenance class `model-generated`, licence `cc-by-4.0`. Its own fields are query,
+tools, answers, id, func_name, func_desc, hash_id, model_name, origin.
+
+Rewritten. In `pool.jsonl`, the request is query, the declarations are tools parsed out of its
+JSON string, and the calls are answers parsed the same way, each already a name with an arguments
+object. An answers column holding a sentence rather than a call list is read as no call, and the
+sentence becomes the response.
+
+Worth knowing. Tools and answers are JSON held inside strings rather than structured columns, and
+the declarations use a compact argument shape with a description, a type name and a default rather
+than a JSON schema. Roughly half the rows ask for more than one call, which is the only large
+source in the pool that does. 6000 of its rows answer in a sentence rather than with a call,
+saying that the request cannot be answered with what was offered or that an argument is missing,
+and 2068 of those offer no declaration at all and are left out of the rewritten layer. The
+published human check of the pipeline covered 600 of the 60000 rows it contributed.
+
+### `sources/toolace`
+
+Dialogues written by two language-model agents, one playing a user and one playing an assistant,
+over a catalogue of 26507 interfaces that is partly collected and partly synthesised, checked
+afterwards by rule-based and model-based verifiers. From `Team-ACE/ToolACE` at revision
+`6bda777c88d21e5a204703c1ee45597a8fa4f734`, files `data.json`. 11009 rows here, of which 10227
+also appear in `pool.jsonl`. Provenance class `model-generated`, licence `apache-2.0`. Its own
+fields are system, holding the instruction and the declarations as a JSON list, and conversations,
+a list of turns each with from and value.
+
+Rewritten. In `pool.jsonl`, the declarations are the JSON list at the end of system, the request
+is the first user turn, and the calls are the first assistant turn parsed as a bracketed list of
+call expressions, with a turn that is prose rather than a call read as no call.
+
+Worth knowing. The paper never names the model that wrote it, so its terms could not be checked
+beyond the apache-2.0 tag on the repository. Its calls are written as a Python-like call string
+rather than as JSON, and its function names contain spaces, which the rewritten layer parses.
+10500 of its 11300 rows are a single exchange and the rest run on for several turns, of which the
+rewritten layer keeps the first exchange only. 518 of its rows write their declarations in a
+second system format under a different marker and with different field names, and 248 more offer
+no declaration at all, and both are left out of the rewritten layer and kept here.
+
+### `sources/when2call`
+
+Requests rewritten by Mixtral 8x22B from an existing model-written function-calling set, paired
+with the answer a careful assistant should give when the offered functions do not cover the
+request or when an argument is missing. From `nvidia/When2Call` at revision
+`0582f7749df63a96fdc3070932e83e72396ace53`, files `train/when2call_train_sft.jsonl`,
+`train/when2call_train_pref.jsonl`. 23839 rows here, of which 14926 also appear in `pool.jsonl`.
+Provenance class `model-generated`, licence `cc-by-4.0`. Its own fields are tools as a list of
+JSON strings and messages as a user turn and an assistant turn in the supervised split, and tools,
+a user turn, a chosen_response and a rejected_response in the preference split.
+
+Rewritten. In `pool.jsonl`, the request is the user turn, the declarations are tools with each
+JSON string parsed, and the answer is the assistant turn in the supervised split and
+chosen_response in the preference split, read as calls when it carries a TOOLCALL block and as no
+call otherwise.
+
+Worth knowing. The whole supervised split answers in prose rather than with a call, on purpose,
+and two thirds of the preference split does the same, so this source teaches restraint and
+clarification and teaches almost no call syntax. Its two test splits are not in the pool.
+
+### `sources/glaive`
+
+Assistant dialogues produced by a commercial synthetic-data platform, each with a system message
+offering one or two functions and a conversation that either calls one of them or explains that it
+cannot help. From `glaiveai/glaive-function-calling-v2` at revision
+`e7f4b6456019f5d8bcb991ef0dd67d8ff23221ac`, files `glaive-function-calling-v2.json`. 109783 rows
+here, of which 21408 also appear in `pool.jsonl`. Provenance class `model-generated`, licence
+`apache-2.0`. Its own fields are system, the instruction with the declarations appended, and chat,
+the dialogue as one block of text.
+
+Rewritten. In `pool.jsonl`, the declarations are the JSON objects appended to system, the request
+is the first USER block of chat, and the calls are the ASSISTANT block that follows it, read as a
+call when it opens with a functioncall marker and as no call otherwise.
+
+Worth knowing. Its card carries no prose at all and the model that wrote it is not named anywhere,
+so the apache-2.0 tag is the only statement of terms there is. 34598 of its rows offer no function
+at all and are left out of the rewritten layer for that reason. Its calls are written as JSON
+whose arguments field is itself a JSON string in single quotes, which the rewritten layer parses.
+
+## Provenance and licences
+
+One source was written by people and four were written by models, and every row says which in its
+`provenance_class` field. The MASSIVE conversion is the human one: crowdworkers wrote the
+requests, professional translators localised them, annotators labelled the intent and the slots,
+and the authors hand-wrote the 55 declarations, so its answer keys are human throughout. The other
+four are `model-generated`, and they differ in how real the interfaces behind them are: the APIGen
+merge and When2Call are built over documentation collected from a real API marketplace, ToolACE
+over a catalogue that is partly collected and partly synthesised, and Glaive over functions it
+invented. There is no rule-generated data in the pool.
+
+Say plainly what that means for the keys. On the four model-written sources the gold call was
+itself written by a language model, so it is only as correct as that model was on the day the set
+was built. The APIGen rows are the best of them, because that pipeline filtered its rows by really
+executing the call. The MASSIVE keys are the only ones in the pool that a person wrote.
+
+The pool as a whole is offered under `cc-by-4.0`, which is the most restrictive term its sources
+compose to. The sources themselves are cc-by-4.0 for the MASSIVE conversion, for the APIGen merge
+and for When2Call, and apache-2.0 for ToolACE and for Glaive. Nothing in the pool is
+non-commercial and nothing in it is share-alike. Each rewritten row carries its own licence in the
+`licence` field and each directory under `sources/` is one source, so a single-licence subset can
+be selected. Attribution goes to Amazon Science for the MASSIVE conversion and through it to the
+authors of MASSIVE and SLURP, to Argilla and Salesforce for the APIGen merge, to the ToolACE
+authors, to NVIDIA for When2Call and to Glaive AI.
+
+## Filtering
+
+Near-duplicate rows were removed before publication, from both layers alike, measured against a
+reserved list of requests that is not distributed here: a word 8-gram overlap check on the request
+text removed 6682 rows and an exact-match check on the whole normalised request removed 4 more.
+Nothing else was filtered: no language, no domain, no source's weaker half and no difficulty was
+selected for or against, so the pool still holds the rows that answer in prose rather than with a
+call, and the `gold` field is how to select what you want.

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+{"calendar.set": {"person": ["\u12e8\u12f3\u1293\u12a4\u120d"], "event_name": ["\u120d\u12f0\u1275 \u1240\u1295"], "date": ["\u1205\u12f3\u122d \u1201\u1208\u1275"], "business_name": [""], "general_frequency": [""], "meal_type": [""], "place_name": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.set": {"date": ["\u1230\u129e\u1295"], "business_name": [""], "event_name": [""], "general_frequency": [""], "meal_type": [""], "person": [""], "place_name": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.query": {"date": ["\u12db\u122c"], "event_name": ["\u1240\u1320\u122e"], "person": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.remove": {"date": [""], "event_name": [""], "meal_type": [""], "person": [""], "place_name": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.set": {"date": ["\u12db\u122c"], "timeofday": ["\u12a8\u1230\u12d3\u1275"], "event_name": ["\u1235\u1265\u1230\u1263"], "business_name": [""], "general_frequency": [""], "meal_type": [""], "person": [""], "place_name": [""], "relation": [""], "time": [""]}}
+{"calendar.remove": {"timeofday": ["\u12e8\u12db\u122c \u121b\u1273\u1295"], "meal_type": ["\u12a5\u122b\u1275"], "date": [""], "event_name": [""], "person": [""], "place_name": [""], "relation": [""], "time": [""]}}
+{"calendar.query": {"date": ["\u1260\u12da\u1205 \u1233\u121d\u1295\u1275"], "event_name": [""], "person": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.query": {"date": ["\u12db\u122c"], "event_name": ["\u12e8\u123d\u12eb\u132d \u1235\u1265\u1230\u1263"], "person": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.set": {"date": ["\u1208\u12da\u1205 \u1233\u121d\u1295\u1275"], "business_name": [""], "event_name": [""], "general_frequency": [""], "meal_type": [""], "person": [""], "place_name": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.query": {"date": ["", "today"], "event_name": [""], "person": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.remove": {"date": [""], "event_name": [""], "meal_type": [""], "person": [""], "place_name": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.set": {"date": ["\u12a0\u122d\u1265"], "person": ["\u1270\u1218\u1235\u1308\u1295"], "event_name": ["\u1240\u1320\u122e"], "business_name": [""], "general_frequency": [""], "meal_type": [""], "place_name": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.remove": {"date": [""], "event_name": [""], "meal_type": [""], "person": [""], "place_name": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.set": {"person": ["\u12a8\u1274\u12f2"], "event_name": ["\u1235\u1265\u1230\u1263"], "business_name": [""], "date": [""], "general_frequency": [""], "meal_type": [""], "place_name": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.query": {"date": ["\u12e8\u121a\u12eb\u12da\u12eb \u12a0\u122b\u1275"], "event_name": ["\u1240\u1320\u122e\u12ec"], "person": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.set": {"timeofday": ["\u121d\u123d\u1275"], "event_name": ["\u1235\u1265\u1230\u1263"], "business_name": [""], "date": [""], "general_frequency": [""], "meal_type": [""], "person": [""], "place_name": [""], "relation": [""], "time": [""]}}
+{"calendar.remove": {"event_name": ["\u12e8\u1323\u1230\u12cd\u1295 \u12e8\u120d\u12f0\u1275 \u1240\u1295"], "date": [""], "meal_type": [""], "person": [""], "place_name": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.query": {"date": ["\u1260\u1230\u1294 \u1236\u1235\u1270\u129b"], "event_name": ["\u12e8\u1218\u1203\u1219\u12f5 \u12e8\u1219\u12da\u1243 \u12dd\u130d\u1305\u1275"], "person": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.set": {"date": ["\u12a0\u122d\u1265"], "time": ["\u1236\u1235\u1275 \u1230\u12a0\u1275"], "event_name": ["\u12e8\u1325\u122d\u1235 \u1200\u12aa\u121d \u1240\u1320\u122e"], "business_name": [""], "general_frequency": [""], "meal_type": [""], "person": [""], "place_name": [""], "relation": [""], "timeofday": [""]}}
+{"calendar.query": {"date": ["\u1260\u12da\u1205 \u1233\u121d\u1295\u1275"], "event_name": [""], "person": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"calendar.query": {"date": ["", "today"], "event_name": [""], "person": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"play.radio": {"app_name": ["\u1353\u1295\u12f6\u122b"], "device_type": [""], "house_place": [""], "media_type": [""], "music_genre": [""], "radio_name": ["", "latest"]}}
+{"play.radio": {"radio_name": ["\u134b\u1293 \u122c\u12f2\u12ee"], "app_name": [""], "device_type": [""], "house_place": [""], "media_type": [""], "music_genre": [""]}}
+{"play.radio": {"radio_name": ["\u1265\u1235\u122b\u1275 \u12a4\u134d \u12a4\u121d\u1295"], "app_name": [""], "device_type": [""], "house_place": [""], "media_type": [""], "music_genre": [""]}}
+{"play.audiobook": {"audiobook_name": ["\u134d\u1245\u122d \u12a5\u1235\u12a8 \u1218\u1243\u1265\u122d"], "player_setting": ["\u1218\u12ad\u1348\u1275"], "audiobook_author": [""], "media_type": [""]}}
+{"play.audiobook": {"audiobook_name": ["\u134d\u1245\u122d \u12a5\u1235\u12a8 \u1218\u1243\u1265\u122d"], "audiobook_author": [""], "media_type": [""], "player_setting": [""]}}
+{"play.audiobook": {"media_type": ["\u12a6\u12f2\u12ee \u1218\u133d\u1210\u134d\u1295"], "player_setting": ["\u121b\u1295\u1260\u1265 \u12ed\u1240\u1325\u1209"], "audiobook_author": [""], "audiobook_name": [""]}}
+{"play.music": {"song_name": ["\u121b\u122b\u12aa\u12ea\u1295"], "player_setting": ["\u12ab\u1246\u1218\u1260\u1275 \u1300\u121d\u122d"], "artist_name": [""], "device_type": [""], "media_type": [""], "music_album": [""], "music_descriptor": [""], "music_genre": [""], "playlist_name": [""]}}
+{"play.audiobook": {"audiobook_name": ["\u121d\u1295\u12f1\u1263\u1295"], "player_setting": ["\u1300\u121d\u122d"], "audiobook_author": [""], "media_type": [""]}}
+{"play.audiobook": {"audiobook_name": ["\u12e8\u134d\u1245\u122d \u12a5\u1235\u12a8 \u1218\u1243\u1265\u122d"], "audiobook_author": [""], "media_type": [""], "player_setting": [""]}}
+{"play.audiobook": {"audiobook_name": ["\u134d\u1245\u122d \u12a5\u1235\u12a8 \u1218\u1243\u1265\u122d"], "player_setting": ["\u121b\u132b\u12c8\u1275\u1205\u1295 \u1240\u1325\u120d"], "audiobook_author": [""], "media_type": [""]}}
+{"play.audiobook": {"audiobook_author": ["\u12e8\u12ed\u1235\u121b\u12a5\u12a8 \u12c8\u122d\u1241\u1295"], "audiobook_name": ["\u12f4\u122d\u1276 \u130b\u12f3"], "player_setting": ["\u1218\u120d\u1230\u1205 \u12a0\u132b\u12cd\u1275"], "media_type": [""]}}
+{"cooking.recipe": {"app_name": [""], "cooking_type": [""], "device_type": [""], "food_type": [""], "media_type": [""]}}
+{"cooking.recipe": {"food_type": ["\u12e8\u1260\u130d \u1235\u130b \u12c8\u1325"], "app_name": [""], "cooking_type": [""], "device_type": [""], "media_type": [""]}}
+{"cooking.recipe": {"food_type": ["\u1325\u1265\u1235"], "app_name": [""], "cooking_type": [""], "device_type": [""], "media_type": [""]}}
+{"cooking.recipe": {"food_type": ["\u1271\u1293"], "app_name": [""], "cooking_type": [""], "device_type": [""], "media_type": [""]}}
+{"cooking.recipe": {"food_type": ["\u1229\u12dd"], "app_name": [""], "cooking_type": [""], "device_type": [""], "media_type": [""]}}
+{"cooking.recipe": {"food_type": ["\u12e8\u1325\u1245\u120d \u130e\u1218\u1295"], "app_name": [""], "cooking_type": [""], "device_type": [""], "media_type": [""]}}
+{"cooking.recipe": {"food_type": ["\u1235\u1295\u130d \u1243\u122a\u12eb\u12cb\u127d\u1295"], "app_name": [""], "cooking_type": [""], "device_type": [""], "media_type": [""]}}
+{"cooking.recipe": {"food_type": ["\u12ac\u12ad"], "cooking_type": ["\u1208\u1218\u130b\u1308\u122d"], "app_name": [""], "device_type": [""], "media_type": [""]}}
+{"play.game": {"game_name": ["\u127c\u12dd"]}}
+{"play.game": {"game_name": ["\u12f3\u121b"]}}
+{"play.game": {"game_name": ["\u12a9\u12a9\u1209"]}}
+{"play.game": {"game_name": [""]}}
+{"play.game": {"game_name": ["\u12f3\u121b"]}}
+{"play.game": {"game_name": ["\u1308\u1260\u1323"]}}
+{"play.game": {"game_name": [""]}}
+{"calendar.query": {"date": ["", "today"], "event_name": [""], "person": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"lists.query": {"date": [""], "list_name": [""]}}
+{"play.podcasts": {"podcast_descriptor": ["\u1240\u1323\u12e9 \u1356\u12f5\u12ab\u1235\u1275"], "player_setting": ["\u12dd\u1208\u120d"], "person": [""], "podcast_name": [""]}}
+{"play.audiobook": {"audiobook_name": ["\u1270\u1240\u1260\u120d \u1203\u1260\u123b"], "audiobook_author": ["\u1273\u1308\u120d \u1230\u12ed\u1349"], "media_type": [""], "player_setting": [""]}}
+{"play.podcasts": {"podcast_name": ["\u12e8\u12a5\u1228\u129b\u12ec"], "podcast_descriptor": ["\u12e8\u121a\u1240\u1325\u1208\u12cd\u1295 \u12ad\u134d\u120d"], "person": [""], "player_setting": [""]}}
+{"play.podcasts": {"podcast_name": ["\u12e8\u1208\u12db\u1295"], "person": [""], "player_setting": [""], "podcast_descriptor": [""]}}
+{"play.podcasts": {"podcast_name": ["\u1265\u1235\u122b\u1275"], "person": [""], "player_setting": [""], "podcast_descriptor": [""]}}
+{"play.podcasts": {"podcast_name": ["\u1218\u1295\u1273 \u1218\u1295\u1308\u12f5\u1295"], "person": [""], "player_setting": [""], "podcast_descriptor": [""]}}
+{"play.podcasts": {"person": [""], "player_setting": [""], "podcast_descriptor": [""], "podcast_name": [""]}}
+{"play.podcasts": {"podcast_name": ["\u12a2\u1276\u1352\u12ab\u120a"], "person": [""], "player_setting": [""], "podcast_descriptor": [""]}}
+{"play.podcasts": {"podcast_name": ["\u1208\u12db"], "person": [""], "player_setting": [""], "podcast_descriptor": [""]}}
+{"play.podcasts": {"podcast_descriptor": ["\u1270\u12a8\u1273\u1273\u12ed"], "person": [""], "player_setting": [""], "podcast_name": [""]}}
+{"play.podcasts": {"podcast_name": ["\u134b\u1293 \u12dc\u1293"], "person": [""], "player_setting": [""], "podcast_descriptor": [""]}}
+{"recommendation.events": {"place_name": ["\u12f5\u122c\u12f0\u12cb"], "business_name": [""], "date": ["", "today"], "event_name": [""], "time": ["", "today"], "timeofday": [""]}}
+{"recommendation.events": {"date": ["\u1260\u12da\u1205 \u1233\u121d\u1295\u1275"], "place_name": ["\u12a0\u12f2\u1235 \u12a0\u1260\u1263"], "business_name": [""], "event_name": [""], "time": ["", "today"], "timeofday": [""]}}
+{"recommendation.events": {"place_name": ["\u1260\u12cd\u1203 \u12f3\u122d\u127b"], "business_name": [""], "date": ["", "today"], "event_name": [""], "time": ["", "today"], "timeofday": [""]}}
+{"recommendation.events": {"date": ["\u1260\u12da\u1205 \u1233\u121d\u1295\u1275 \u1218\u1328\u1228\u123b"], "business_name": [""], "event_name": [""], "place_name": ["", "users location"], "time": ["", "today"], "timeofday": [""]}}
+{"recommendation.locations": {"business_type": ["\u121d\u130d\u1265 \u1264\u1276\u127d"], "business_name": [""], "food_type": [""], "place_name": ["", "users location"]}}
+{"recommendation.locations": {"business_type": ["\u12e8\u1290\u12f3\u1305 \u121b\u12f0\u12eb"], "business_name": [""], "food_type": [""], "place_name": ["", "users location"]}}
+{"transport.ticket": {"place_name": ["\u12a8\u1208\u1308\u1200\u122d"], "transport_name": ["\u12e8\u1238\u1308\u122d"], "transport_type": ["\u1263\u1261\u122d"], "date": ["", "today"], "time": [""], "timeofday": [""], "transport_descriptor": [""]}}
+{"qa.definition": {"definition_word": ["\u12c8\u1295\u1300\u120d \u121d\u122d\u1218\u122b"]}}
+{"qa.definition": {"definition_word": ["\u1218\u1295\u1308\u132b\u1308\u132d"]}}
+{"qa.maths": {"query": ["\u1201\u1208\u1275 \u1218\u1276 \u1232\u12ab\u1348\u120d \u1260\u12a0\u1225\u122d \u1235\u1295\u1275 \u1290\u12cd"]}}
+{"qa.maths": {"query": ["\u12a0\u1295\u12f5 \u1232\u12f0\u1218\u122d \u12a0\u1295\u12f5 \u1235\u1295\u1275 \u1290\u12cd"]}}
+{"qa.maths": {"query": ["\u12e8\u1235\u12f5\u1235\u1275 \u1218\u1276 \u1203\u12eb \u12a0\u121d\u1235\u1275 \u1229\u1275 \u121d\u1295\u12f5\u1295 \u1290\u12cd"]}}
+{"qa.factoid": {"query": ["\u1235\u1208 \u1218\u1295\u130d\u1235\u1271 \u1200\u12ed\u1208\u121b\u122d\u12eb\u121d \u12c8\u120d\u12f4 \u1218\u1228\u1303 \u1295\u1308\u1228\u129d"]}}
+{"qa.maths": {"query": ["\u12a0\u1235\u122b \u1201\u1208\u1275 \u1232\u12f0\u1218\u122d \u12a0\u1295\u12f5 \u1218\u1276 \u12d8\u1320\u1293 \u1235\u12f5\u1235\u1275 \u1235\u1295\u1275 \u1290\u12cd"]}}
+{"qa.maths": {"query": ["\u1201\u1208\u1275 \u1218\u1276 \u12a0\u122d\u1263 \u1235\u12f5\u1235\u1275 \u1232\u12f0\u1218\u122d \u1235\u12f5\u1235\u1275 \u1218\u1276 \u1203\u121d\u1233 \u12a0\u122b\u1275 \u1208\u121a\u1208\u12c9 \u1325\u12eb\u1244 \u1218\u120d\u1231\u1295 \u12a0\u1233\u12e8\u129d"]}}
+{"qa.maths": {"query": ["\u12a0\u122b\u1275 \u1232\u12f0\u1218\u122d \u12a0\u121d\u1235\u1275 \u1235\u1295\u1275 \u1290\u12cd"]}}
+{"qa.definition": {"definition_word": ["\u12e8\u1270\u1290\u1233\u123a\u1290\u1275\u1295"]}}
+{"qa.factoid": {"query": ["\u12cd\u123b \u1235\u1295\u1275 \u12a5\u130d\u122d \u12a0\u1208\u12cd"]}}
+{"qa.factoid": {"query": ["\u1200\u12ed\u120c \u1308\u1265\u1228\u1235\u120b\u1234 \u12e8\u1275 \u12a5\u1295\u12f0\u1270\u12c8\u1208\u12f1 \u1295\u1308\u1228\u129d"]}}
+{"qa.factoid": {"query": ["\u12e8\u130d\u1229\u121d \u12a4\u122d\u121a\u12eb\u1235 \u12e8\u120d\u12f0\u1275 \u1240\u1295 \u1218\u127d \u1290\u12cd"]}}
+{"qa.factoid": {"query": ["\u1355\u122b\u12ed\u121d \u121c\u122a\u12f2\u12eb\u1295 \u12e8\u1275 \u1290\u12cd"]}}
+{"qa.definition": {"definition_word": ["\u12a4\u120c\u12ad\u1275\u122e\u1292\u12ad \u120d\u1240\u1275 \u1235\u122d\u12d3\u1275"]}}
+{"qa.currency": {"query": ["\u12a8\u12a0\u121c\u122a\u12ab \u12f6\u120b\u122d \u12c8\u12f0 \u12e8\u1303\u1353\u1295 \u12e8\u1295 \u12e8\u1240\u1291\u1295 \u12e8\u121d\u1295\u12db\u122a \u1270\u1218\u1295 \u1218\u1228\u1303 \u12d8\u122d\u12dd\u122d"]}}
+{"qa.definition": {"definition_word": ["\u12e8\u1265\u12f5\u122d \u12ab\u122d\u12f5"]}}
+{"qa.factoid": {"query": ["\u1260\u121d\u12f5\u122d \u120b\u12ed \u1265\u12d9 \u12a5\u1233\u1270 \u1308\u121e\u122b\u12ce\u127d \u12eb\u1209\u1275 \u12e8\u1275 \u1290\u12cd"]}}
+{"qa.definition": {"definition_word": ["\u1218\u120d\u12ab\u121d \u120d\u12f0\u1275\u1295"]}}
+{"qa.factoid": {"query": ["\u1230\u1208 \u1204\u1296\u12ad \u1203\u130e\u1235 \u1275\u1290\u130d\u122a\u129b\u1208\u123d"]}}
+{"qa.currency": {"query": ["\u12a8\u12f6\u120b\u122d \u12c8\u12f0 \u12e9\u122e"]}}
+{"qa.factoid": {"query": ["\u12a0\u12f3\u121d \u1228\u1273 \u120d\u12f0\u1271 \u1218\u127d \u1290\u12cd"]}}
+{"qa.factoid": {"query": ["\u120c\u1265\u122e\u1295 \u1304\u121d\u1235 \u1200\u1265\u1277 \u1235\u1295\u1275 \u1290\u12cd"]}}
+{"qa.factoid": {"query": ["\u1231\u121b\u120d\u12eb \u12e8\u1275 \u1290\u12cd \u12e8\u121d\u1275\u1308\u1298\u12cd"]}}
+{"qa.currency": {"query": ["\u12e8\u12f6\u120b\u122d \u121d\u1295\u12db\u122a \u12a0\u1201\u1295"]}}
+{"qa.maths": {"query": ["\u12a0\u1295\u12f5 \u1232\u12f0\u1218\u122d \u1201\u1208\u1275 \u12a5\u12a9\u120d \u12ed\u1206\u1293\u120d"]}}
+{"qa.maths": {"query": ["\u12e8\u12a0\u1295\u12f5 \u12a5\u1235\u122b\u1235 \u12cb\u130b \u12a0\u122b\u1275 \u1265\u1228 \u12a8\u1206\u1290 \u1363 \u12e8\u12a0\u1295\u12f5 \u1218\u1345\u1203\u134d \u12cb\u130b \u12a0\u1235\u122d \u1265\u1228 \u12a8\u1206\u1290 \u1201\u1208\u1275 \u12a5\u1235\u122b\u1235\u1293 \u1236\u1235\u1275 \u1218\u1345\u1203\u134d \u1208\u1218\u130d\u12db\u1275 \u121d\u1295 \u12e8\u1205\u120d \u1265\u122d \u1290\u12cd \u12e8\u121d\u12eb\u1235\u1348\u120d\u1308\u129d"]}}
+{"qa.factoid": {"query": ["\u120b\u120a\u1260\u120b \u12e8\u1275 \u12ed\u1308\u129b\u120d"]}}
+{"qa.maths": {"query": ["\u12d8\u1320\u129d \u12a5\u1293 \u1201\u1208\u1275\u1295 \u1218\u12f0\u1218\u122d \u1275\u127d\u120b\u1208\u1205"]}}
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+{"transport.query": {"transport_type": ["treno"], "place_name": ["trieste"], "business_name": [""], "business_type": [""], "date": ["", "today"], "time": ["", "now"], "timeofday": [""], "transport_name": [""]}}
+{"transport.query": {"place_name": ["aeroporto"], "business_name": [""], "business_type": [""], "date": ["", "today"], "time": ["", "now"], "timeofday": [""], "transport_name": [""], "transport_type": [""]}}
+{"transport.query": {"transport_type": ["treno"], "place_name": ["trieste"], "business_name": [""], "business_type": [""], "date": ["", "today"], "time": ["", "now"], "timeofday": [""], "transport_name": [""]}}
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+{"transport.query": {"transport_type": ["treno"], "place_name": ["bologna"], "business_name": [""], "business_type": [""], "date": ["", "today"], "time": ["", "now"], "timeofday": [""], "transport_name": [""]}}
+{"transport.traffic": {"place_name": ["", "current location, work"], "time": ["", "now"]}}
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+{"transport.traffic": {"place_name": ["", "current location, work"], "time": ["", "now"]}}
+{"transport.traffic": {"place_name": ["", "current location, work"], "time": ["", "now"]}}
+{"transport.traffic": {"time": ["al momento"], "place_name": ["", "current location, work"]}}
+{"transport.query": {"transport_name": ["italo"], "business_name": [""], "business_type": [""], "date": ["", "today"], "place_name": [""], "time": ["", "now"], "timeofday": [""], "transport_type": [""]}}
+{"transport.traffic": {"place_name": ["", "current location, work"], "time": ["", "now"]}}
+{"qa.definition": {"definition_word": ["elaborare"]}}
+{"qa.definition": {"definition_word": ["forense"]}}
+{"qa.definition": {"definition_word": ["turbolenza"]}}
+{"qa.definition": {"definition_word": ["capriccioso"]}}
+{"qa.factoid": {"query": ["quanti anni ha gianna nannini"]}}
+{"cooking.recipe": {"app_name": [""], "cooking_type": [""], "device_type": [""], "food_type": [""], "media_type": [""]}}
+{"recommendation.locations": {"business_type": ["pizzeria"], "business_name": [""], "food_type": [""], "place_name": ["", "users location"]}}
+{"qa.maths": {"query": ["qual \u00e8 la radice quadrata di nove"]}}
+{"qa.definition": {"definition_word": ["arancia"]}}
+{"qa.factoid": {"query": ["dimmi l'indirizzo di claudio bisio"]}}
+{"qa.maths": {"query": ["quanto fa uno pi\u00f9 uno"]}}
+{"qa.maths": {"query": ["quanto fa uno pi\u00f9 uno"]}}
+{"qa.maths": {"query": ["qual \u00e8 il fattoriale di dieci"]}}
+{"qa.factoid": {"query": ["quanto \u00e8 grande l'universo"]}}
+{"qa.factoid": {"query": ["quand'\u00e8 il compleanno di riccardo scamarcio"]}}
+{"qa.definition": {"definition_word": ["oscillare"]}}
+{"qa.maths": {"query": ["dimmi quanto fa due per due"]}}
+{"qa.maths": {"query": ["qual \u00e8 la radice di seicentoventicinque"]}}
+{"qa.factoid": {"query": ["qual \u00e8 stato il primo romanzo di grazia deledda"]}}
+{"qa.definition": {"definition_word": ["perpetuo"]}}
+{"qa.maths": {"query": ["quanto fa due pi\u00f9 due"]}}
+{"qa.factoid": {"query": ["quanto \u00e8 grande un capodoglio"]}}
+{"qa.maths": {"query": ["quanto fa dodici pi\u00f9 centonovantasei"]}}
+{"qa.definition": {"definition_word": ["tempestivit\u00e0"]}}
+{"qa.maths": {"query": ["a quanto ammonta la somma dei numeri quattro e sei"]}}
+{"qa.factoid": {"query": ["in quanti stati \u00e8 in vigore la pena di morte"]}}
+{"qa.maths": {"query": ["quanto fa quattro pi\u00f9 cinque"]}}
+{"qa.maths": {"query": ["quanto fa dodici diviso quattro"]}}
+{"qa.maths": {"query": ["quanto fa diciotto per trentuno"]}}
+{"qa.definition": {"definition_word": ["motivazione"]}}
+{"datetime.query": {"date": [""], "place_name": ["", "current"], "time_zone": ["", "current"]}}
+{"qa.factoid": {"query": ["perch\u00e9 le balene sono grandi"]}}
+{"qa.maths": {"query": ["quanto fa sei diviso tre"]}}
+{"qa.factoid": {"query": ["puoi dirmi se leonardo \u00e8 sposato"]}}
+{"qa.factoid": {"query": ["dove trascorrono il tempo libero le persone famose"]}}
+{"qa.factoid": {"query": ["quand'\u00e8 il compleanno di carlo verdone"]}}
+{"qa.currency": {"query": ["quanto valgono le sterline adesso"]}}
+{"qa.factoid": {"query": ["sai dirmi quanti stomaci ha una mucca"]}}
+{"qa.definition": {"definition_word": ["sedia"]}}
+{"qa.factoid": {"query": ["di che colore sono le sedie"]}}
+{"qa.factoid": {"query": ["dove si trova il meridiano zero"]}}
+{"qa.definition": {"definition_word": ["melograno"]}}
+{"qa.stock": {"business_name": ["exor"], "date": ["", "today"]}}
+{"qa.factoid": {"query": ["quanti anni ha laura pausini"]}}
+{"qa.factoid": {"query": ["qual \u00e8 l'estensione media in miglia quadrate delle terre emerse"]}}
+{"qa.definition": {"definition_word": ["soggiogare"]}}
+{"qa.factoid": {"query": ["quanto \u00e8 lontano il sole"]}}
+{"qa.definition": {"definition_word": ["logica"]}}
+{"qa.factoid": {"query": ["dov'\u00e8 il parco nazionale del cilento"]}}
+{"qa.factoid": {"query": ["puoi parlarmi di roberto baggio"]}}
+{"qa.definition": {"definition_word": ["esterrefatto"]}}
+{"qa.definition": {"definition_word": ["esterrefatto"]}}
+{"qa.factoid": {"query": ["qual \u00e8 la data di nascita di montale"]}}
+{"qa.factoid": {"query": ["quanto costa una casa in media"]}}
+{"qa.factoid": {"query": ["dimmi tutto quello che sai sui bradipi"]}}
+{"qa.factoid": {"query": ["quand'\u00e8 il compleanno di carlo verdone"]}}
+{"qa.maths": {"query": ["se una matita costa quattro dollari e un libro ne costa dieci quanto spenderei comprando due matite e tre libri"]}}
+{"qa.factoid": {"query": ["dove si trova la moldavia"]}}
+{"qa.factoid": {"query": ["in quale anno ha cominciato a recitare raoul bova"]}}
+{"qa.currency": {"query": ["quanto vale il dollaro rispetto alla rupia indiana"]}}
+{"qa.definition": {"definition_word": ["cilindro"]}}
+{"qa.currency": {"query": ["quanto vale la sterlina"]}}
+{"qa.definition": {"definition_word": ["coperta"]}}
+{"qa.factoid": {"query": ["che tipo di occhiali da sole sono considerati da aviatore"]}}
+{"qa.factoid": {"query": ["informazioni sull'europa"]}}
+{"qa.factoid": {"query": ["quale universit\u00e0 ha frequentato laura boldrini"]}}
+{"qa.stock": {"business_name": ["bper"], "date": ["", "today"]}}
+{"qa.stock": {"business_name": ["luxottica"], "date": ["", "today"]}}
+{"qa.maths": {"query": ["quanto fa quattro per tre"]}}
+{"qa.factoid": {"query": ["in che film ha recitato claudia gerini"]}}
+{"qa.currency": {"query": ["quanto vale il dollaro statunitense in confronto alla sterlina"]}}
+{"qa.definition": {"definition_word": ["libro"]}}
+{"qa.factoid": {"query": ["quanto \u00e8 grande la sicilia"]}}
+{"qa.factoid": {"query": ["quali sono le dimensioni degli stati uniti"]}}
+{"qa.factoid": {"query": ["di che colore \u00e8 un frutto del drago"]}}
+{"qa.stock": {"business_name": ["unicredit"], "date": ["", "today"]}}
+{"qa.factoid": {"query": ["qual \u00e8 il punto pi\u00f9 profondo della terra"]}}
+{"qa.factoid": {"query": ["quale oceano tocca il nostro continente"]}}
+{"qa.definition": {"definition_word": ["caftano"]}}
+{"qa.currency": {"query": ["trova il tasso di cambio tra euro e sterlina"]}}
+{"transport.query": {"place_name": ["gardaland"], "business_name": [""], "business_type": [""], "date": ["", "today"], "time": ["", "now"], "timeofday": [""], "transport_name": [""], "transport_type": [""]}}
+{"qa.factoid": {"query": ["quando \u00e8 stato costruito il teatro alla scala"]}}
+{"qa.currency": {"query": ["qual \u00e8 il prezzo del dollaro"]}}
+{"qa.definition": {"definition_word": ["sfera"]}}
+{"qa.currency": {"query": ["qual \u00e8 il tasso di cambio tra euro e dollaro"]}}
+{"qa.factoid": {"query": ["in che anno \u00e8 nato silvio berlusconi"]}}
+{"qa.factoid": {"query": ["dove vive paola cortellesi"]}}
+{"qa.definition": {"definition_word": ["pontificato"]}}
+{"qa.factoid": {"query": ["che differenza c'\u00e8 tra il calendario romano e gregoriano"]}}
+{"qa.definition": {"definition_word": ["esorbitante"]}}
+{"qa.currency": {"query": ["qual \u00e8 il tasso di cambio con la sterlina britannica"]}}
+{"qa.factoid": {"query": ["quando uscir\u00e0 il nuovo album di tiziano ferro"]}}
+{"qa.currency": {"query": ["dimmi qual \u00e8 il tasso di cambio tra euro e corona svedese"]}}
+{"qa.currency": {"query": ["qual \u00e8 il tasso di cambio tra euro e dollaro"]}}
+{"qa.definition": {"definition_word": ["situazione"]}}
+{"qa.factoid": {"query": ["quanti anni ha sophia loren"]}}
+{"qa.currency": {"query": ["quanto vale un euro in sterline"]}}
+{"qa.factoid": {"query": ["\u00e8 pi\u00f9 caldo il polo sud o il polo nord"]}}
+{"qa.factoid": {"query": ["quanti anni ha il nuovo fidanzato di giulia de lellis"]}}
+{"qa.currency": {"query": ["quanti dollari posso avere con un euro"]}}
+{"qa.definition": {"definition_word": ["altoparlante"]}}
+{"news.query": {"date": ["oggi"], "media_type": [""], "news_topic": [""], "person": [""], "place_name": [""]}}
+{"social.post": {"media_type": ["twittare"], "business_name": [""]}}
+{"email.query": {"business_name": [""], "date": [""], "email_folder": [""], "event_name": [""], "person": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"email.sendemail": {"person": ["giovanni"], "email_address": [""], "event_name": ["", "empty"], "relation": [""]}}
+{"news.query": {"date": ["", "today"], "media_type": [""], "news_topic": [""], "person": [""], "place_name": [""]}}
+{"email.sendemail": {"email_address": ["gianpaolo chiocciola gmail punto com"], "event_name": ["", "empty"], "person": [""], "relation": [""]}}
+{"email.query": {"business_name": [""], "date": [""], "email_folder": [""], "event_name": [""], "person": [""], "relation": [""], "time": [""], "timeofday": [""]}}
+{"email.querycontact": {"personal_info": ["numeri di telefono"], "person": ["leonardo"], "business_name": [""], "relation": [""]}}
+{"email.query": {"email_folder": ["posta in arrivo"], "business_name": [""], "date": [""], "event_name": [""], "person": [""], "relation": [""], "time": [""], "timeofday": [""]}}

sources/massive_agents/massive-full-converted-all-langs-with-id/it-IT/input.jsonl

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