HYUKI5/mteb__amazon_massive_intent

mteb/amazon_massive_intent（複製）

データの内容

MASSIVE の、51 言語の話し言葉の文を、意図（intent）で分類するデータ。1 件ごとに文を text、意図を label と label_text、言語を lang に入れている。MASSIVE は Fitzgerald らの論文（2022）で示された多言語の自然言語理解のデータで、カードはその論文と MMTEB の引用を求めている。

データの概要

項目	値
行数	842,571（51 構成・153 分割の合計）
列数	5
容量	16.96 MB（ファイル 156 本）
ファイルの形式	json.gz 153、yaml 1
言語	afr, amh, ara, aze, ben, cmo, cym, dan, deu, ell, eng, fas, fin, fra, heb, hin, hun, hye, ind, isl, ita, jav, jpn, kan,
公開	public

構成と分割

構成（config）	分割（split）ごとの行数	列数
af	train 11,514、test 2,974、validation 2,033	5
am	train 11,514、test 2,974、validation 2,033	5
ar	train 11,514、test 2,974、validation 2,033	5
az	train 11,514、test 2,974、validation 2,033	5
bn	train 11,514、test 2,974、validation 2,033	5
cy	train 11,514、test 2,974、validation 2,033	5
da	train 11,514、test 2,974、validation 2,033	5
de	train 11,514、test 2,974、validation 2,033	5
el	train 11,514、test 2,974、validation 2,033	5
en	train 11,514、test 2,974、validation 2,033	5
es	train 11,514、test 2,974、validation 2,033	5
fa	train 11,514、test 2,974、validation 2,033	5
fi	train 11,514、test 2,974、validation 2,033	5
fr	train 11,514、test 2,974、validation 2,033	5
he	train 11,514、test 2,974、validation 2,033	5
hi	train 11,514、test 2,974、validation 2,033	5
hu	train 11,514、test 2,974、validation 2,033	5
hy	train 11,514、test 2,974、validation 2,033	5
id	train 11,514、test 2,974、validation 2,033	5
is	train 11,514、test 2,974、validation 2,033	5

（ほか 31 構成。全体は HF のデータセットビューアで見られる）

列（構成 af・分割 train。どの構成も同じ列）

列	型	先頭の行の値
id	string	1
label	string	alarm_set
label_text	string	alarm_set
text	string	maak my wakker nege-uur v. m. op vrydag
lang	string	af

行数と列は HF のデータセットビューアの集計（元のデータセットの現在の版で数えたもの）。全データセットの一覧は HYUKI5/dataset-catalog にある。

複製について

mteb/amazon_massive_intent をリビジョン 940fd47a81eaa7f2cc7b129674d945d618ac38c2 の時点でそのまま複製したもの。中身は変えていない。判断モデル Laya（convaiinnovations/laya）の微調整に使う候補として、調査メモ（Laya 学習用データセット調査）に載せたデータを集めている。

出典

• 元のデータセット: https://huggingface.co/datasets/mteb/amazon_massive_intent
• 複製したリビジョン: 940fd47a81eaa7f2cc7b129674d945d618ac38c2（2026-02-24 21:18:25+00:00）
• 元のライセンス表記: apache-2.0

論文

• https://arxiv.org/abs/2204.08582
• https://arxiv.org/abs/2502.13595
• https://arxiv.org/abs/2210.07316

アノテーションの方法

（元のカードに該当の見出しが無いので、ラベルの付け方に触れた段落を抜き出した）

---

このデータセットのカードは MTEB を使って自動生成された。

微調整に使うときの注意

• 調査メモの台帳での区分: A（許諾型のライセンスだけで、疑義の注記が無い）。区分は記載の文言で機械的に付けたもので、法的な判定ではない。学習に入れる前に元のカードとライセンスの原文で確かめる。
• Laya の入力は 2,048 token まで（ModernBERT-large / mmBERT）。長い本文は先頭から黙って切られるので、切れる行は事前に除くか、要約・切り出しをしてから入れる。
• 分割は記事・文書単位で行い、同じ本文から作った別の問いを学習側と較正側に分けない。温度と閾値は学習に使っていない分割で別々に当てる。

調査メモの記述

メモ	節	ライセンス（記載）	確認	注記
general_english_nlu.md	1. 単文分類: 感情・トピック・意図・感情語・スパム・毒性・皮肉（noul / choice / score に変換） (L54)	apache-2.0	確認済	Q3 参照(食い違い・要確認) ／ 原文注記: - mteb/amazon_massive_intent / mteb/amazon_massive_scenario: MASSIVE（arXiv 2204.08582, タグ）。多言語。license apache-
jev_sources_community.csv	CSV（m-lagnajit/calibrated-typed-decisions）	CC-BY-4.0	確認済	[Jev 元データ source] 較正済み教師の確率（human gold も保持）
jev_sources_community.csv	CSV（Praveenrajus/jev-bench）	cc-by-4.0	確認済	[Jev 元データ source] 人手ラベル

元のカード（日本語訳）

以下は元のデータセットのカードの本文を日本語に訳したもの（機械翻訳）。訳に疑問があるときは、末尾の原文を確かめる。

---

MassiveIntentClassification

MTEB データセット

Massive Text Embedding Benchmark

MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages

タスクのカテゴリ	t2c
ドメイン	話し言葉
参照	https://arxiv.org/abs/2204.08582

このタスクでの評価方法

以下のコードで、このデータセット上の埋め込みモデルを評価できる。

import mteb

task = mteb.get_tasks(["MassiveIntentClassification"])
evaluator = mteb.MTEB(task)

model = mteb.get_model(YOUR_MODEL)
evaluator.run(model)

mteb タスクでモデルを実行する方法については、GitHub リポジトリ を参照。

引用

このデータセットを使う場合は、データセットと mteb の両方を引用すること。このデータセットは、MMTEB Contribution の一部として追加の処理を含んでいる可能性があるためである。

@misc{fitzgerald2022massive,
  archiveprefix = {arXiv},
  author = {Jack FitzGerald and Christopher Hench and Charith Peris and Scott Mackie and Kay Rottmann and Ana Sanchez and Aaron Nash and Liam Urbach and Vishesh Kakarala and Richa Singh and Swetha Ranganath and Laurie Crist and Misha Britan and Wouter Leeuwis and Gokhan Tur and Prem Natarajan},
  eprint = {2204.08582},
  primaryclass = {cs.CL},
  title = {MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages},
  year = {2022},
}


@article{enevoldsen2025mmtebmassivemultilingualtext,
  title={MMTEB: Massive Multilingual Text Embedding Benchmark},
  author={Kenneth Enevoldsen and Isaac Chung and Imene Kerboua and Márton Kardos and Ashwin Mathur and David Stap and Jay Gala and Wissam Siblini and Dominik Krzemiński and Genta Indra Winata and Saba Sturua and Saiteja Utpala and Mathieu Ciancone and Marion Schaeffer and Gabriel Sequeira and Diganta Misra and Shreeya Dhakal and Jonathan Rystrøm and Roman Solomatin and Ömer Çağatan and Akash Kundu and Martin Bernstorff and Shitao Xiao and Akshita Sukhlecha and Bhavish Pahwa and Rafał Poświata and Kranthi Kiran GV and Shawon Ashraf and Daniel Auras and Björn Plüster and Jan Philipp Harries and Loïc Magne and Isabelle Mohr and Mariya Hendriksen and Dawei Zhu and Hippolyte Gisserot-Boukhlef and Tom Aarsen and Jan Kostkan and Konrad Wojtasik and Taemin Lee and Marek Šuppa and Crystina Zhang and Roberta Rocca and Mohammed Hamdy and Andrianos Michail and John Yang and Manuel Faysse and Aleksei Vatolin and Nandan Thakur and Manan Dey and Dipam Vasani and Pranjal Chitale and Simone Tedeschi and Nguyen Tai and Artem Snegirev and Michael Günther and Mengzhou Xia and Weijia Shi and Xing Han Lù and Jordan Clive and Gayatri Krishnakumar and Anna Maksimova and Silvan Wehrli and Maria Tikhonova and Henil Panchal and Aleksandr Abramov and Malte Ostendorff and Zheng Liu and Simon Clematide and Lester James Miranda and Alena Fenogenova and Guangyu Song and Ruqiya Bin Safi and Wen-Ding Li and Alessia Borghini and Federico Cassano and Hongjin Su and Jimmy Lin and Howard Yen and Lasse Hansen and Sara Hooker and Chenghao Xiao and Vaibhav Adlakha and Orion Weller and Siva Reddy and Niklas Muennighoff},
  publisher = {arXiv},
  journal={arXiv preprint arXiv:2502.13595},
  year={2025},
  url={https://arxiv.org/abs/2502.13595},
  doi = {10.48550/arXiv.2502.13595},
}

@article{muennighoff2022mteb,
  author = {Muennighoff, Niklas and Tazi, Nouamane and Magne, Lo{\"\i}c and Reimers, Nils},
  title = {MTEB: Massive Text Embedding Benchmark},
  publisher = {arXiv},
  journal={arXiv preprint arXiv:2210.07316},
  year = {2022}
  url = {https://arxiv.org/abs/2210.07316},
  doi = {10.48550/ARXIV.2210.07316},
}

データセットの統計

データセットの統計

以下のコードには、このタスクの記述統計が含まれる。次のコードでも同じ内容を取得できる。

import mteb

task = mteb.get_task("MassiveIntentClassification")

desc_stats = task.metadata.descriptive_stats

{
    "validation": {
        "num_samples": 103683,
        "number_of_characters": 3583467,
        "number_texts_intersect_with_train": 5457,
        "min_text_length": 1,
        "average_text_length": 34.56176036573016,
        "max_text_length": 224,
        "unique_text": 102325,
        "unique_labels": 59,
        "labels": {
            "iot_hue_lightoff": {
                "count": 867
            },
            "iot_hue_lightdim": {
                "count": 867
            },
            "iot_cleaning": {
                "count": 969
            },
            "general_quirky": {
                "count": 5355
            },
            "takeaway_query": {
                "count": 1224
            },
            "play_music": {
                "count": 6273
            },
            "music_query": {
                "count": 1530
            },
            "weather_query": {
                "count": 6426
            },
            "music_settings": {
                "count": 408
            },
            "audio_volume_down": {
                "count": 408
            },
            "datetime_query": {
                "count": 3264
            },
            "general_greet": {
                "count": 102
            },
            "alarm_set": {
                "count": 1581
            },
            "audio_volume_up": {
                "count": 612
            },
            "alarm_query": {
                "count": 969
            },
            "news_query": {
                "count": 4182
            },
            "iot_hue_lighton": {
                "count": 255
            },
            "iot_wemo_off": {
                "count": 255
            },
            "iot_hue_lightchange": {
                "count": 1122
            },
            "audio_volume_mute": {
                "count": 765
            },
            "alarm_remove": {
                "count": 714
            },
            "general_joke": {
                "count": 765
            },
            "datetime_convert": {
                "count": 459
            },
            "iot_wemo_on": {
                "count": 357
            },
            "iot_hue_lightup": {
                "count": 612
            },
            "iot_coffee": {
                "count": 714
            },
            "social_post": {
                "count": 2550
            },
            "music_dislikeness": {
                "count": 102
            },
            "cooking_recipe": {
                "count": 2091
            },
            "takeaway_order": {
                "count": 1020
            },
            "music_likeness": {
                "count": 816
            },
            "calendar_query": {
                "count": 5202
            },
            "qa_stock": {
                "count": 1224
            },
            "qa_factoid": {
                "count": 4590
            },
            "calendar_set": {
                "count": 6681
            },
            "recommendation_events": {
                "count": 1326
            },
            "cooking_query": {
                "count": 102
            },
            "calendar_remove": {
                "count": 2397
            },
            "email_sendemail": {
                "count": 3213
            },
            "play_radio": {
                "count": 2346
            },
            "play_audiobook": {
                "count": 1785
            },
            "play_game": {
                "count": 1122
            },
            "lists_query": {
                "count": 2550
            },
            "lists_remove": {
                "count": 1887
            },
            "lists_createoradd": {
                "count": 1275
            },
            "email_addcontact": {
                "count": 255
            },
            "play_podcasts": {
                "count": 1734
            },
            "recommendation_movies": {
                "count": 612
            },
            "recommendation_locations": {
                "count": 1581
            },
            "transport_ticket": {
                "count": 1275
            },
            "transport_query": {
                "count": 1836
            },
            "transport_taxi": {
                "count": 1377
            },
            "transport_traffic": {
                "count": 1122
            },
            "qa_definition": {
                "count": 2805
            },
            "qa_currency": {
                "count": 1632
            },
            "qa_maths": {
                "count": 663
            },
            "social_query": {
                "count": 918
            },
            "email_query": {
                "count": 3723
            },
            "email_querycontact": {
                "count": 816
            }
        }
    },
    "test": {
        "num_samples": 151674,
        "number_of_characters": 5230011,
        "number_texts_intersect_with_train": 7273,
        "min_text_length": 1,
        "average_text_length": 34.48192175323391,
        "max_text_length": 495,
        "unique_text": 148972,
        "unique_labels": 59,
        "labels": {
            "alarm_set": {
                "count": 2091
            },
            "audio_volume_mute": {
                "count": 1632
            },
            "iot_hue_lightchange": {
                "count": 1836
            },
            "iot_hue_lighton": {
                "count": 153
            },
            "iot_hue_lightoff": {
                "count": 2193
            },
            "iot_cleaning": {
                "count": 1326
            },
            "general_quirky": {
                "count": 8619
            },
            "general_greet": {
                "count": 51
            },
            "datetime_query": {
                "count": 4488
            },
            "datetime_convert": {
                "count": 765
            },
            "alarm_remove": {
                "count": 1071
            },
            "alarm_query": {
                "count": 1734
            },
            "music_likeness": {
                "count": 1836
            },
            "iot_hue_lightup": {
                "count": 1377
            },
            "takeaway_order": {
                "count": 1122
            },
            "weather_query": {
                "count": 7956
            },
            "general_joke": {
                "count": 969
            },
            "play_music": {
                "count": 8976
            },
            "iot_hue_lightdim": {
                "count": 1071
            },
            "takeaway_query": {
                "count": 1785
            },
            "news_query": {
                "count": 6324
            },
            "audio_volume_up": {
                "count": 663
            },
            "iot_wemo_off": {
                "count": 918
            },
            "iot_wemo_on": {
                "count": 510
            },
            "iot_coffee": {
                "count": 1836
            },
            "music_query": {
                "count": 1785
            },
            "audio_volume_down": {
                "count": 561
            },
            "audio_volume_other": {
                "count": 306
            },
            "music_dislikeness": {
                "count": 204
            },
            "music_settings": {
                "count": 306
            },
            "recommendation_events": {
                "count": 2193
            },
            "qa_stock": {
                "count": 1326
            },
            "calendar_set": {
                "count": 10659
            },
            "play_audiobook": {
                "count": 2091
            },
            "social_query": {
                "count": 1275
            },
            "qa_factoid": {
                "count": 7191
            },
            "transport_ticket": {
                "count": 1785
            },
            "recommendation_locations": {
                "count": 1581
            },
            "calendar_query": {
                "count": 6426
            },
            "recommendation_movies": {
                "count": 1020
            },
            "transport_query": {
                "count": 2601
            },
            "cooking_recipe": {
                "count": 3672
            },
            "play_game": {
                "count": 1785
            },
            "calendar_remove": {
                "count": 3417
            },
            "email_query": {
                "count": 6069
            },
            "email_sendemail": {
                "count": 5814
            },
            "play_radio": {
                "count": 3672
            },
            "play_podcasts": {
                "count": 3213
            },
            "lists_query": {
                "count": 2601
            },
            "lists_remove": {
                "count": 2652
            },
            "lists_createoradd": {
                "count": 1989
            },
            "transport_taxi": {
                "count": 1173
            },
            "transport_traffic": {
                "count": 765
            },
            "qa_definition": {
                "count": 2907
            },
            "qa_maths": {
                "count": 1275
            },
            "social_post": {
                "count": 4131
            },
            "qa_currency": {
                "count": 1989
            },
            "email_addcontact": {
                "count": 612
            },
            "email_querycontact": {
                "count": 1326
            }
        }
    },
    "train": {
        "num_samples": 587214,
        "number_of_characters": 20507758,
        "number_texts_intersect_with_train": null,
        "min_text_length": 1,
        "average_text_length": 34.92382334208653,
        "max_text_length": 295,
        "unique_text": 565055,
        "unique_labels": 60,
        "labels": {
            "alarm_set": {
                "count": 9282
            },
            "audio_volume_mute": {
                "count": 5610
            },
            "iot_hue_lightchange": {
                "count": 6375
            },
            "iot_hue_lightoff": {
                "count": 7803
            },
            "iot_hue_lightdim": {
                "count": 3876
            },
            "iot_cleaning": {
                "count": 4743
            },
            "calendar_query": {
                "count": 28866
            },
            "play_music": {
                "count": 32589
            },
            "general_quirky": {
                "count": 28305
            },
            "general_greet": {
                "count": 1275
            },
            "datetime_query": {
                "count": 17850
            },
            "datetime_convert": {
                "count": 2652
            },
            "takeaway_query": {
                "count": 6222
            },
            "alarm_remove": {
                "count": 3978
            },
            "alarm_query": {
                "count": 6630
            },
            "news_query": {
                "count": 25653
            },
            "music_likeness": {
                "count": 5763
            },
            "music_query": {
                "count": 7854
            },
            "iot_hue_lightup": {
                "count": 3876
            },
            "takeaway_order": {
                "count": 6885
            },
            "weather_query": {
                "count": 29223
            },
            "music_settings": {
                "count": 2601
            },
            "general_joke": {
                "count": 3672
            },
            "music_dislikeness": {
                "count": 714
            },
            "audio_volume_other": {
                "count": 918
            },
            "iot_coffee": {
                "count": 6324
            },
            "audio_volume_up": {
                "count": 5610
            },
            "iot_wemo_on": {
                "count": 2448
            },
            "iot_hue_lighton": {
                "count": 1122
            },
            "iot_wemo_off": {
                "count": 2652
            },
            "audio_volume_down": {
                "count": 2652
            },
            "qa_stock": {
                "count": 7752
            },
            "play_radio": {
                "count": 14433
            },
            "recommendation_locations": {
                "count": 8823
            },
            "qa_factoid": {
                "count": 27744
            },
            "calendar_set": {
                "count": 41310
            },
            "play_audiobook": {
                "count": 7650
            },
            "play_podcasts": {
                "count": 9843
            },
            "social_query": {
                "count": 5508
            },
            "transport_query": {
                "count": 11577
            },
            "email_sendemail": {
                "count": 18054
            },
            "recommendation_movies": {
                "count": 3570
            },
            "lists_query": {
                "count": 10098
            },
            "play_game": {
                "count": 5712
            },
            "transport_ticket": {
                "count": 6477
            },
            "recommendation_events": {
                "count": 9690
            },
            "email_query": {
                "count": 21318
            },
            "transport_traffic": {
                "count": 5967
            },
            "cooking_query": {
                "count": 204
            },
            "qa_definition": {
                "count": 13617
            },
            "calendar_remove": {
                "count": 15912
            },
            "lists_remove": {
                "count": 8364
            },
            "cooking_recipe": {
                "count": 10557
            },
            "email_querycontact": {
                "count": 6477
            },
            "lists_createoradd": {
                "count": 9027
            },
            "transport_taxi": {
                "count": 5100
            },
            "qa_maths": {
                "count": 3978
            },
            "social_post": {
                "count": 14433
            },
            "qa_currency": {
                "count": 7242
            },
            "email_addcontact": {
                "count": 2754
            }
        }
    }
}

---

このデータセットのカードは MTEB を使って自動生成された。

原文（英語）

MassiveIntentClassification

An MTEB dataset

Massive Text Embedding Benchmark

MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages

Task category	t2c
Domains	Spoken
Reference	https://arxiv.org/abs/2204.08582

How to evaluate on this task

You can evaluate an embedding model on this dataset using the following code:

import mteb

task = mteb.get_tasks(["MassiveIntentClassification"])
evaluator = mteb.MTEB(task)

model = mteb.get_model(YOUR_MODEL)
evaluator.run(model)

To learn more about how to run models on mteb task check out the GitHub repitory.

Citation

If you use this dataset, please cite the dataset as well as mteb, as this dataset likely includes additional processing as a part of the MMTEB Contribution.

@misc{fitzgerald2022massive,
  archiveprefix = {arXiv},
  author = {Jack FitzGerald and Christopher Hench and Charith Peris and Scott Mackie and Kay Rottmann and Ana Sanchez and Aaron Nash and Liam Urbach and Vishesh Kakarala and Richa Singh and Swetha Ranganath and Laurie Crist and Misha Britan and Wouter Leeuwis and Gokhan Tur and Prem Natarajan},
  eprint = {2204.08582},
  primaryclass = {cs.CL},
  title = {MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages},
  year = {2022},
}


@article{enevoldsen2025mmtebmassivemultilingualtext,
  title={MMTEB: Massive Multilingual Text Embedding Benchmark},
  author={Kenneth Enevoldsen and Isaac Chung and Imene Kerboua and Márton Kardos and Ashwin Mathur and David Stap and Jay Gala and Wissam Siblini and Dominik Krzemiński and Genta Indra Winata and Saba Sturua and Saiteja Utpala and Mathieu Ciancone and Marion Schaeffer and Gabriel Sequeira and Diganta Misra and Shreeya Dhakal and Jonathan Rystrøm and Roman Solomatin and Ömer Çağatan and Akash Kundu and Martin Bernstorff and Shitao Xiao and Akshita Sukhlecha and Bhavish Pahwa and Rafał Poświata and Kranthi Kiran GV and Shawon Ashraf and Daniel Auras and Björn Plüster and Jan Philipp Harries and Loïc Magne and Isabelle Mohr and Mariya Hendriksen and Dawei Zhu and Hippolyte Gisserot-Boukhlef and Tom Aarsen and Jan Kostkan and Konrad Wojtasik and Taemin Lee and Marek Šuppa and Crystina Zhang and Roberta Rocca and Mohammed Hamdy and Andrianos Michail and John Yang and Manuel Faysse and Aleksei Vatolin and Nandan Thakur and Manan Dey and Dipam Vasani and Pranjal Chitale and Simone Tedeschi and Nguyen Tai and Artem Snegirev and Michael Günther and Mengzhou Xia and Weijia Shi and Xing Han Lù and Jordan Clive and Gayatri Krishnakumar and Anna Maksimova and Silvan Wehrli and Maria Tikhonova and Henil Panchal and Aleksandr Abramov and Malte Ostendorff and Zheng Liu and Simon Clematide and Lester James Miranda and Alena Fenogenova and Guangyu Song and Ruqiya Bin Safi and Wen-Ding Li and Alessia Borghini and Federico Cassano and Hongjin Su and Jimmy Lin and Howard Yen and Lasse Hansen and Sara Hooker and Chenghao Xiao and Vaibhav Adlakha and Orion Weller and Siva Reddy and Niklas Muennighoff},
  publisher = {arXiv},
  journal={arXiv preprint arXiv:2502.13595},
  year={2025},
  url={https://arxiv.org/abs/2502.13595},
  doi = {10.48550/arXiv.2502.13595},
}

@article{muennighoff2022mteb,
  author = {Muennighoff, Niklas and Tazi, Nouamane and Magne, Lo{\"\i}c and Reimers, Nils},
  title = {MTEB: Massive Text Embedding Benchmark},
  publisher = {arXiv},
  journal={arXiv preprint arXiv:2210.07316},
  year = {2022}
  url = {https://arxiv.org/abs/2210.07316},
  doi = {10.48550/ARXIV.2210.07316},
}

Dataset Statistics

Dataset Statistics

The following code contains the descriptive statistics from the task. These can also be obtained using:

import mteb

task = mteb.get_task("MassiveIntentClassification")

desc_stats = task.metadata.descriptive_stats

{
    "validation": {
        "num_samples": 103683,
        "number_of_characters": 3583467,
        "number_texts_intersect_with_train": 5457,
        "min_text_length": 1,
        "average_text_length": 34.56176036573016,
        "max_text_length": 224,
        "unique_text": 102325,
        "unique_labels": 59,
        "labels": {
            "iot_hue_lightoff": {
                "count": 867
            },
            "iot_hue_lightdim": {
                "count": 867
            },
            "iot_cleaning": {
                "count": 969
            },
            "general_quirky": {
                "count": 5355
            },
            "takeaway_query": {
                "count": 1224
            },
            "play_music": {
                "count": 6273
            },
            "music_query": {
                "count": 1530
            },
            "weather_query": {
                "count": 6426
            },
            "music_settings": {
                "count": 408
            },
            "audio_volume_down": {
                "count": 408
            },
            "datetime_query": {
                "count": 3264
            },
            "general_greet": {
                "count": 102
            },
            "alarm_set": {
                "count": 1581
            },
            "audio_volume_up": {
                "count": 612
            },
            "alarm_query": {
                "count": 969
            },
            "news_query": {
                "count": 4182
            },
            "iot_hue_lighton": {
                "count": 255
            },
            "iot_wemo_off": {
                "count": 255
            },
            "iot_hue_lightchange": {
                "count": 1122
            },
            "audio_volume_mute": {
                "count": 765
            },
            "alarm_remove": {
                "count": 714
            },
            "general_joke": {
                "count": 765
            },
            "datetime_convert": {
                "count": 459
            },
            "iot_wemo_on": {
                "count": 357
            },
            "iot_hue_lightup": {
                "count": 612
            },
            "iot_coffee": {
                "count": 714
            },
            "social_post": {
                "count": 2550
            },
            "music_dislikeness": {
                "count": 102
            },
            "cooking_recipe": {
                "count": 2091
            },
            "takeaway_order": {
                "count": 1020
            },
            "music_likeness": {
                "count": 816
            },
            "calendar_query": {
                "count": 5202
            },
            "qa_stock": {
                "count": 1224
            },
            "qa_factoid": {
                "count": 4590
            },
            "calendar_set": {
                "count": 6681
            },
            "recommendation_events": {
                "count": 1326
            },
            "cooking_query": {
                "count": 102
            },
            "calendar_remove": {
                "count": 2397
            },
            "email_sendemail": {
                "count": 3213
            },
            "play_radio": {
                "count": 2346
            },
            "play_audiobook": {
                "count": 1785
            },
            "play_game": {
                "count": 1122
            },
            "lists_query": {
                "count": 2550
            },
            "lists_remove": {
                "count": 1887
            },
            "lists_createoradd": {
                "count": 1275
            },
            "email_addcontact": {
                "count": 255
            },
            "play_podcasts": {
                "count": 1734
            },
            "recommendation_movies": {
                "count": 612
            },
            "recommendation_locations": {
                "count": 1581
            },
            "transport_ticket": {
                "count": 1275
            },
            "transport_query": {
                "count": 1836
            },
            "transport_taxi": {
                "count": 1377
            },
            "transport_traffic": {
                "count": 1122
            },
            "qa_definition": {
                "count": 2805
            },
            "qa_currency": {
                "count": 1632
            },
            "qa_maths": {
                "count": 663
            },
            "social_query": {
                "count": 918
            },
            "email_query": {
                "count": 3723
            },
            "email_querycontact": {
                "count": 816
            }
        }
    },
    "test": {
        "num_samples": 151674,
        "number_of_characters": 5230011,
        "number_texts_intersect_with_train": 7273,
        "min_text_length": 1,
        "average_text_length": 34.48192175323391,
        "max_text_length": 495,
        "unique_text": 148972,
        "unique_labels": 59,
        "labels": {
            "alarm_set": {
                "count": 2091
            },
            "audio_volume_mute": {
                "count": 1632
            },
            "iot_hue_lightchange": {
                "count": 1836
            },
            "iot_hue_lighton": {
                "count": 153
            },
            "iot_hue_lightoff": {
                "count": 2193
            },
            "iot_cleaning": {
                "count": 1326
            },
            "general_quirky": {
                "count": 8619
            },
            "general_greet": {
                "count": 51
            },
            "datetime_query": {
                "count": 4488
            },
            "datetime_convert": {
                "count": 765
            },
            "alarm_remove": {
                "count": 1071
            },
            "alarm_query": {
                "count": 1734
            },
            "music_likeness": {
                "count": 1836
            },
            "iot_hue_lightup": {
                "count": 1377
            },
            "takeaway_order": {
                "count": 1122
            },
            "weather_query": {
                "count": 7956
            },
            "general_joke": {
                "count": 969
            },
            "play_music": {
                "count": 8976
            },
            "iot_hue_lightdim": {
                "count": 1071
            },
            "takeaway_query": {
                "count": 1785
            },
            "news_query": {
                "count": 6324
            },
            "audio_volume_up": {
                "count": 663
            },
            "iot_wemo_off": {
                "count": 918
            },
            "iot_wemo_on": {
                "count": 510
            },
            "iot_coffee": {
                "count": 1836
            },
            "music_query": {
                "count": 1785
            },
            "audio_volume_down": {
                "count": 561
            },
            "audio_volume_other": {
                "count": 306
            },
            "music_dislikeness": {
                "count": 204
            },
            "music_settings": {
                "count": 306
            },
            "recommendation_events": {
                "count": 2193
            },
            "qa_stock": {
                "count": 1326
            },
            "calendar_set": {
                "count": 10659
            },
            "play_audiobook": {
                "count": 2091
            },
            "social_query": {
                "count": 1275
            },
            "qa_factoid": {
                "count": 7191
            },
            "transport_ticket": {
                "count": 1785
            },
            "recommendation_locations": {
                "count": 1581
            },
            "calendar_query": {
                "count": 6426
            },
            "recommendation_movies": {
                "count": 1020
            },
            "transport_query": {
                "count": 2601
            },
            "cooking_recipe": {
                "count": 3672
            },
            "play_game": {
                "count": 1785
            },
            "calendar_remove": {
                "count": 3417
            },
            "email_query": {
                "count": 6069
            },
            "email_sendemail": {
                "count": 5814
            },
            "play_radio": {
                "count": 3672
            },
            "play_podcasts": {
                "count": 3213
            },
            "lists_query": {
                "count": 2601
            },
            "lists_remove": {
                "count": 2652
            },
            "lists_createoradd": {
                "count": 1989
            },
            "transport_taxi": {
                "count": 1173
            },
            "transport_traffic": {
                "count": 765
            },
            "qa_definition": {
                "count": 2907
            },
            "qa_maths": {
                "count": 1275
            },
            "social_post": {
                "count": 4131
            },
            "qa_currency": {
                "count": 1989
            },
            "email_addcontact": {
                "count": 612
            },
            "email_querycontact": {
                "count": 1326
            }
        }
    },
    "train": {
        "num_samples": 587214,
        "number_of_characters": 20507758,
        "number_texts_intersect_with_train": null,
        "min_text_length": 1,
        "average_text_length": 34.92382334208653,
        "max_text_length": 295,
        "unique_text": 565055,
        "unique_labels": 60,
        "labels": {
            "alarm_set": {
                "count": 9282
            },
            "audio_volume_mute": {
                "count": 5610
            },
            "iot_hue_lightchange": {
                "count": 6375
            },
            "iot_hue_lightoff": {
                "count": 7803
            },
            "iot_hue_lightdim": {
                "count": 3876
            },
            "iot_cleaning": {
                "count": 4743
            },
            "calendar_query": {
                "count": 28866
            },
            "play_music": {
                "count": 32589
            },
            "general_quirky": {
                "count": 28305
            },
            "general_greet": {
                "count": 1275
            },
            "datetime_query": {
                "count": 17850
            },
            "datetime_convert": {
                "count": 2652
            },
            "takeaway_query": {
                "count": 6222
            },
            "alarm_remove": {
                "count": 3978
            },
            "alarm_query": {
                "count": 6630
            },
            "news_query": {
                "count": 25653
            },
            "music_likeness": {
                "count": 5763
            },
            "music_query": {
                "count": 7854
            },
            "iot_hue_lightup": {
                "count": 3876
            },
            "takeaway_order": {
                "count": 6885
            },
            "weather_query": {
                "count": 29223
            },
            "music_settings": {
                "count": 2601
            },
            "general_joke": {
                "count": 3672
            },
            "music_dislikeness": {
                "count": 714
            },
            "audio_volume_other": {
                "count": 918
            },
            "iot_coffee": {
                "count": 6324
            },
            "audio_volume_up": {
                "count": 5610
            },
            "iot_wemo_on": {
                "count": 2448
            },
            "iot_hue_lighton": {
                "count": 1122
            },
            "iot_wemo_off": {
                "count": 2652
            },
            "audio_volume_down": {
                "count": 2652
            },
            "qa_stock": {
                "count": 7752
            },
            "play_radio": {
                "count": 14433
            },
            "recommendation_locations": {
                "count": 8823
            },
            "qa_factoid": {
                "count": 27744
            },
            "calendar_set": {
                "count": 41310
            },
            "play_audiobook": {
                "count": 7650
            },
            "play_podcasts": {
                "count": 9843
            },
            "social_query": {
                "count": 5508
            },
            "transport_query": {
                "count": 11577
            },
            "email_sendemail": {
                "count": 18054
            },
            "recommendation_movies": {
                "count": 3570
            },
            "lists_query": {
                "count": 10098
            },
            "play_game": {
                "count": 5712
            },
            "transport_ticket": {
                "count": 6477
            },
            "recommendation_events": {
                "count": 9690
            },
            "email_query": {
                "count": 21318
            },
            "transport_traffic": {
                "count": 5967
            },
            "cooking_query": {
                "count": 204
            },
            "qa_definition": {
                "count": 13617
            },
            "calendar_remove": {
                "count": 15912
            },
            "lists_remove": {
                "count": 8364
            },
            "cooking_recipe": {
                "count": 10557
            },
            "email_querycontact": {
                "count": 6477
            },
            "lists_createoradd": {
                "count": 9027
            },
            "transport_taxi": {
                "count": 5100
            },
            "qa_maths": {
                "count": 3978
            },
            "social_post": {
                "count": 14433
            },
            "qa_currency": {
                "count": 7242
            },
            "email_addcontact": {
                "count": 2754
            }
        }
    }
}

---

This dataset card was automatically generated using MTEB