mteb/amazon_massive_intent

1---2annotations_creators:3- human-annotated4language:5- afr6- amh7- ara8- aze9- ben10- cmo11- cym12- dan13- deu14- ell15- eng16- fas17- fin18- fra19- heb20- hin21- hun22- hye23- ind24- isl25- ita26- jav27- jpn28- kan29- kat30- khm31- kor32- lav33- mal34- mon35- msa36- mya37- nld38- nob39- pol40- por41- ron42- rus43- slv44- spa45- sqi46- swa47- swe48- tam49- tel50- tgl51- tha52- tur53- urd54- vie55license: apache-2.056multilinguality: translated57task_categories:58- text-classification59task_ids: []60configs:61- config_name: default62  data_files:63  - path: train/*.json.gz64    split: train65  - path: test/*.json.gz66    split: test67  - path: validation/*.json.gz68    split: validation69- config_name: ta70  data_files:71  - path: train/ta.json.gz72    split: train73  - path: test/ta.json.gz74    split: test75  - path: validation/ta.json.gz76    split: validation77- config_name: is78  data_files:79  - path: train/is.json.gz80    split: train81  - path: test/is.json.gz82    split: test83  - path: validation/is.json.gz84    split: validation85- config_name: pl86  data_files:87  - path: train/pl.json.gz88    split: train89  - path: test/pl.json.gz90    split: test91  - path: validation/pl.json.gz92    split: validation93- config_name: zh-CN94  data_files:95  - path: train/zh-CN.json.gz96    split: train97  - path: test/zh-CN.json.gz98    split: test99  - path: validation/zh-CN.json.gz100    split: validation101- config_name: el102  data_files:103  - path: train/el.json.gz104    split: train105  - path: test/el.json.gz106    split: test107  - path: validation/el.json.gz108    split: validation109- config_name: ru110  data_files:111  - path: train/ru.json.gz112    split: train113  - path: test/ru.json.gz114    split: test115  - path: validation/ru.json.gz116    split: validation117- config_name: te118  data_files:119  - path: train/te.json.gz120    split: train121  - path: test/te.json.gz122    split: test123  - path: validation/te.json.gz124    split: validation125- config_name: cy126  data_files:127  - path: train/cy.json.gz128    split: train129  - path: test/cy.json.gz130    split: test131  - path: validation/cy.json.gz132    split: validation133- config_name: he134  data_files:135  - path: train/he.json.gz136    split: train137  - path: test/he.json.gz138    split: test139  - path: validation/he.json.gz140    split: validation141- config_name: de142  data_files:143  - path: train/de.json.gz144    split: train145  - path: test/de.json.gz146    split: test147  - path: validation/de.json.gz148    split: validation149- config_name: af150  data_files:151  - path: train/af.json.gz152    split: train153  - path: test/af.json.gz154    split: test155  - path: validation/af.json.gz156    split: validation157- config_name: ml158  data_files:159  - path: train/ml.json.gz160    split: train161  - path: test/ml.json.gz162    split: test163  - path: validation/ml.json.gz164    split: validation165- config_name: sl166  data_files:167  - path: train/sl.json.gz168    split: train169  - path: test/sl.json.gz170    split: test171  - path: validation/sl.json.gz172    split: validation173- config_name: vi174  data_files:175  - path: train/vi.json.gz176    split: train177  - path: test/vi.json.gz178    split: test179  - path: validation/vi.json.gz180    split: validation181- config_name: mn182  data_files:183  - path: train/mn.json.gz184    split: train185  - path: test/mn.json.gz186    split: test187  - path: validation/mn.json.gz188    split: validation189- config_name: tl190  data_files:191  - path: train/tl.json.gz192    split: train193  - path: test/tl.json.gz194    split: test195  - path: validation/tl.json.gz196    split: validation197- config_name: it198  data_files:199  - path: train/it.json.gz200    split: train201  - path: test/it.json.gz202    split: test203  - path: validation/it.json.gz204    split: validation205- config_name: jv206  data_files:207  - path: train/jv.json.gz208    split: train209  - path: test/jv.json.gz210    split: test211  - path: validation/jv.json.gz212    split: validation213- config_name: sq214  data_files:215  - path: train/sq.json.gz216    split: train217  - path: test/sq.json.gz218    split: test219  - path: validation/sq.json.gz220    split: validation221- config_name: fa222  data_files:223  - path: train/fa.json.gz224    split: train225  - path: test/fa.json.gz226    split: test227  - path: validation/fa.json.gz228    split: validation229- config_name: nb230  data_files:231  - path: train/nb.json.gz232    split: train233  - path: test/nb.json.gz234    split: test235  - path: validation/nb.json.gz236    split: validation237- config_name: km238  data_files:239  - path: train/km.json.gz240    split: train241  - path: test/km.json.gz242    split: test243  - path: validation/km.json.gz244    split: validation245- config_name: th246  data_files:247  - path: train/th.json.gz248    split: train249  - path: test/th.json.gz250    split: test251  - path: validation/th.json.gz252    split: validation253- config_name: ja254  data_files:255  - path: train/ja.json.gz256    split: train257  - path: test/ja.json.gz258    split: test259  - path: validation/ja.json.gz260    split: validation261- config_name: hi262  data_files:263  - path: train/hi.json.gz264    split: train265  - path: test/hi.json.gz266    split: test267  - path: validation/hi.json.gz268    split: validation269- config_name: id270  data_files:271  - path: train/id.json.gz272    split: train273  - path: test/id.json.gz274    split: test275  - path: validation/id.json.gz276    split: validation277- config_name: kn278  data_files:279  - path: train/kn.json.gz280    split: train281  - path: test/kn.json.gz282    split: test283  - path: validation/kn.json.gz284    split: validation285- config_name: fi286  data_files:287  - path: train/fi.json.gz288    split: train289  - path: test/fi.json.gz290    split: test291  - path: validation/fi.json.gz292    split: validation293- config_name: ur294  data_files:295  - path: train/ur.json.gz296    split: train297  - path: test/ur.json.gz298    split: test299  - path: validation/ur.json.gz300    split: validation301- config_name: my302  data_files:303  - path: train/my.json.gz304    split: train305  - path: test/my.json.gz306    split: test307  - path: validation/my.json.gz308    split: validation309- config_name: lv310  data_files:311  - path: train/lv.json.gz312    split: train313  - path: test/lv.json.gz314    split: test315  - path: validation/lv.json.gz316    split: validation317- config_name: fr318  data_files:319  - path: train/fr.json.gz320    split: train321  - path: test/fr.json.gz322    split: test323  - path: validation/fr.json.gz324    split: validation325- config_name: ko326  data_files:327  - path: train/ko.json.gz328    split: train329  - path: test/ko.json.gz330    split: test331  - path: validation/ko.json.gz332    split: validation333- config_name: sw334  data_files:335  - path: train/sw.json.gz336    split: train337  - path: test/sw.json.gz338    split: test339  - path: validation/sw.json.gz340    split: validation341- config_name: sv342  data_files:343  - path: train/sv.json.gz344    split: train345  - path: test/sv.json.gz346    split: test347  - path: validation/sv.json.gz348    split: validation349- config_name: nl350  data_files:351  - path: train/nl.json.gz352    split: train353  - path: test/nl.json.gz354    split: test355  - path: validation/nl.json.gz356    split: validation357- config_name: da358  data_files:359  - path: train/da.json.gz360    split: train361  - path: test/da.json.gz362    split: test363  - path: validation/da.json.gz364    split: validation365- config_name: ar366  data_files:367  - path: train/ar.json.gz368    split: train369  - path: test/ar.json.gz370    split: test371  - path: validation/ar.json.gz372    split: validation373- config_name: ms374  data_files:375  - path: train/ms.json.gz376    split: train377  - path: test/ms.json.gz378    split: test379  - path: validation/ms.json.gz380    split: validation381- config_name: en382  data_files:383  - path: train/en.json.gz384    split: train385  - path: test/en.json.gz386    split: test387  - path: validation/en.json.gz388    split: validation389- config_name: am390  data_files:391  - path: train/am.json.gz392    split: train393  - path: test/am.json.gz394    split: test395  - path: validation/am.json.gz396    split: validation397- config_name: pt398  data_files:399  - path: train/pt.json.gz400    split: train401  - path: test/pt.json.gz402    split: test403  - path: validation/pt.json.gz404    split: validation405- config_name: ka406  data_files:407  - path: train/ka.json.gz408    split: train409  - path: test/ka.json.gz410    split: test411  - path: validation/ka.json.gz412    split: validation413- config_name: ro414  data_files:415  - path: train/ro.json.gz416    split: train417  - path: test/ro.json.gz418    split: test419  - path: validation/ro.json.gz420    split: validation421- config_name: tr422  data_files:423  - path: train/tr.json.gz424    split: train425  - path: test/tr.json.gz426    split: test427  - path: validation/tr.json.gz428    split: validation429- config_name: hu430  data_files:431  - path: train/hu.json.gz432    split: train433  - path: test/hu.json.gz434    split: test435  - path: validation/hu.json.gz436    split: validation437- config_name: zh-TW438  data_files:439  - path: train/zh-TW.json.gz440    split: train441  - path: test/zh-TW.json.gz442    split: test443  - path: validation/zh-TW.json.gz444    split: validation445- config_name: bn446  data_files:447  - path: train/bn.json.gz448    split: train449  - path: test/bn.json.gz450    split: test451  - path: validation/bn.json.gz452    split: validation453- config_name: hy454  data_files:455  - path: train/hy.json.gz456    split: train457  - path: test/hy.json.gz458    split: test459  - path: validation/hy.json.gz460    split: validation461- config_name: es462  data_files:463  - path: train/es.json.gz464    split: train465  - path: test/es.json.gz466    split: test467  - path: validation/es.json.gz468    split: validation469- config_name: az470  data_files:471  - path: train/az.json.gz472    split: train473  - path: test/az.json.gz474    split: test475  - path: validation/az.json.gz476    split: validation477tags:478- mteb479- text480---481<!-- adapted from https://github.com/huggingface/huggingface_hub/blob/v0.30.2/src/huggingface_hub/templates/datasetcard_template.md -->482 483<div align="center" style="padding: 40px 20px; background-color: white; border-radius: 12px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); max-width: 600px; margin: 0 auto;">484  <h1 style="font-size: 3.5rem; color: #1a1a1a; margin: 0 0 20px 0; letter-spacing: 2px; font-weight: 700;">MassiveIntentClassification</h1>485  <div style="font-size: 1.5rem; color: #4a4a4a; margin-bottom: 5px; font-weight: 300;">An <a href="https://github.com/embeddings-benchmark/mteb" style="color: #2c5282; font-weight: 600; text-decoration: none;" onmouseover="this.style.textDecoration='underline'" onmouseout="this.style.textDecoration='none'">MTEB</a> dataset</div>486  <div style="font-size: 0.9rem; color: #2c5282; margin-top: 10px;">Massive Text Embedding Benchmark</div>487</div>488 489MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages490 491|               |                                             |492|---------------|---------------------------------------------|493| Task category | t2c                              |494| Domains       | Spoken                               |495| Reference     | https://arxiv.org/abs/2204.08582 |496 497 498## How to evaluate on this task499 500You can evaluate an embedding model on this dataset using the following code:501 502```python503import mteb504 505task = mteb.get_tasks(["MassiveIntentClassification"])506evaluator = mteb.MTEB(task)507 508model = mteb.get_model(YOUR_MODEL)509evaluator.run(model)510```511 512<!-- Datasets want link to arxiv in readme to autolink dataset with paper -->513To learn more about how to run models on `mteb` task check out the [GitHub repitory](https://github.com/embeddings-benchmark/mteb). 514 515## Citation516 517If you use this dataset, please cite the dataset as well as [mteb](https://github.com/embeddings-benchmark/mteb), as this dataset likely includes additional processing as a part of the [MMTEB Contribution](https://github.com/embeddings-benchmark/mteb/tree/main/docs/mmteb).518 519```bibtex520 521@misc{fitzgerald2022massive,522  archiveprefix = {arXiv},523  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},524  eprint = {2204.08582},525  primaryclass = {cs.CL},526  title = {MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages},527  year = {2022},528}529 530 531@article{enevoldsen2025mmtebmassivemultilingualtext,532  title={MMTEB: Massive Multilingual Text Embedding Benchmark},533  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},534  publisher = {arXiv},535  journal={arXiv preprint arXiv:2502.13595},536  year={2025},537  url={https://arxiv.org/abs/2502.13595},538  doi = {10.48550/arXiv.2502.13595},539}540 541@article{muennighoff2022mteb,542  author = {Muennighoff, Niklas and Tazi, Nouamane and Magne, Lo{\"\i}c and Reimers, Nils},543  title = {MTEB: Massive Text Embedding Benchmark},544  publisher = {arXiv},545  journal={arXiv preprint arXiv:2210.07316},546  year = {2022}547  url = {https://arxiv.org/abs/2210.07316},548  doi = {10.48550/ARXIV.2210.07316},549}550```551 552# Dataset Statistics553<details>554  <summary> Dataset Statistics</summary>555 556The following code contains the descriptive statistics from the task. These can also be obtained using:557 558```python559import mteb560 561task = mteb.get_task("MassiveIntentClassification")562 563desc_stats = task.metadata.descriptive_stats564```565 566```json567{568    "validation": {569        "num_samples": 103683,570        "number_of_characters": 3583467,571        "number_texts_intersect_with_train": 5457,572        "min_text_length": 1,573        "average_text_length": 34.56176036573016,574        "max_text_length": 224,575        "unique_text": 102325,576        "unique_labels": 59,577        "labels": {578            "iot_hue_lightoff": {579                "count": 867580            },581            "iot_hue_lightdim": {582                "count": 867583            },584            "iot_cleaning": {585                "count": 969586            },587            "general_quirky": {588                "count": 5355589            },590            "takeaway_query": {591                "count": 1224592            },593            "play_music": {594                "count": 6273595            },596            "music_query": {597                "count": 1530598            },599            "weather_query": {600                "count": 6426601            },602            "music_settings": {603                "count": 408604            },605            "audio_volume_down": {606                "count": 408607            },608            "datetime_query": {609                "count": 3264610            },611            "general_greet": {612                "count": 102613            },614            "alarm_set": {615                "count": 1581616            },617            "audio_volume_up": {618                "count": 612619            },620            "alarm_query": {621                "count": 969622            },623            "news_query": {624                "count": 4182625            },626            "iot_hue_lighton": {627                "count": 255628            },629            "iot_wemo_off": {630                "count": 255631            },632            "iot_hue_lightchange": {633                "count": 1122634            },635            "audio_volume_mute": {636                "count": 765637            },638            "alarm_remove": {639                "count": 714640            },641            "general_joke": {642                "count": 765643            },644            "datetime_convert": {645                "count": 459646            },647            "iot_wemo_on": {648                "count": 357649            },650            "iot_hue_lightup": {651                "count": 612652            },653            "iot_coffee": {654                "count": 714655            },656            "social_post": {657                "count": 2550658            },659            "music_dislikeness": {660                "count": 102661            },662            "cooking_recipe": {663                "count": 2091664            },665            "takeaway_order": {666                "count": 1020667            },668            "music_likeness": {669                "count": 816670            },671            "calendar_query": {672                "count": 5202673            },674            "qa_stock": {675                "count": 1224676            },677            "qa_factoid": {678                "count": 4590679            },680            "calendar_set": {681                "count": 6681682            },683            "recommendation_events": {684                "count": 1326685            },686            "cooking_query": {687                "count": 102688            },689            "calendar_remove": {690                "count": 2397691            },692            "email_sendemail": {693                "count": 3213694            },695            "play_radio": {696                "count": 2346697            },698            "play_audiobook": {699                "count": 1785700            },701            "play_game": {702                "count": 1122703            },704            "lists_query": {705                "count": 2550706            },707            "lists_remove": {708                "count": 1887709            },710            "lists_createoradd": {711                "count": 1275712            },713            "email_addcontact": {714                "count": 255715            },716            "play_podcasts": {717                "count": 1734718            },719            "recommendation_movies": {720                "count": 612721            },722            "recommendation_locations": {723                "count": 1581724            },725            "transport_ticket": {726                "count": 1275727            },728            "transport_query": {729                "count": 1836730            },731            "transport_taxi": {732                "count": 1377733            },734            "transport_traffic": {735                "count": 1122736            },737            "qa_definition": {738                "count": 2805739            },740            "qa_currency": {741                "count": 1632742            },743            "qa_maths": {744                "count": 663745            },746            "social_query": {747                "count": 918748            },749            "email_query": {750                "count": 3723751            },752            "email_querycontact": {753                "count": 816754            }755        }756    },757    "test": {758        "num_samples": 151674,759        "number_of_characters": 5230011,760        "number_texts_intersect_with_train": 7273,761        "min_text_length": 1,762        "average_text_length": 34.48192175323391,763        "max_text_length": 495,764        "unique_text": 148972,765        "unique_labels": 59,766        "labels": {767            "alarm_set": {768                "count": 2091769            },770            "audio_volume_mute": {771                "count": 1632772            },773            "iot_hue_lightchange": {774                "count": 1836775            },776            "iot_hue_lighton": {777                "count": 153778            },779            "iot_hue_lightoff": {780                "count": 2193781            },782            "iot_cleaning": {783                "count": 1326784            },785            "general_quirky": {786                "count": 8619787            },788            "general_greet": {789                "count": 51790            },791            "datetime_query": {792                "count": 4488793            },794            "datetime_convert": {795                "count": 765796            },797            "alarm_remove": {798                "count": 1071799            },800            "alarm_query": {801                "count": 1734802            },803            "music_likeness": {804                "count": 1836805            },806            "iot_hue_lightup": {807                "count": 1377808            },809            "takeaway_order": {810                "count": 1122811            },812            "weather_query": {813                "count": 7956814            },815            "general_joke": {816                "count": 969817            },818            "play_music": {819                "count": 8976820            },821            "iot_hue_lightdim": {822                "count": 1071823            },824            "takeaway_query": {825                "count": 1785826            },827            "news_query": {828                "count": 6324829            },830            "audio_volume_up": {831                "count": 663832            },833            "iot_wemo_off": {834                "count": 918835            },836            "iot_wemo_on": {837                "count": 510838            },839            "iot_coffee": {840                "count": 1836841            },842            "music_query": {843                "count": 1785844            },845            "audio_volume_down": {846                "count": 561847            },848            "audio_volume_other": {849                "count": 306850            },851            "music_dislikeness": {852                "count": 204853            },854            "music_settings": {855                "count": 306856            },857            "recommendation_events": {858                "count": 2193859            },860            "qa_stock": {861                "count": 1326862            },863            "calendar_set": {864                "count": 10659865            },866            "play_audiobook": {867                "count": 2091868            },869            "social_query": {870                "count": 1275871            },872            "qa_factoid": {873                "count": 7191874            },875            "transport_ticket": {876                "count": 1785877            },878            "recommendation_locations": {879                "count": 1581880            },881            "calendar_query": {882                "count": 6426883            },884            "recommendation_movies": {885                "count": 1020886            },887            "transport_query": {888                "count": 2601889            },890            "cooking_recipe": {891                "count": 3672892            },893            "play_game": {894                "count": 1785895            },896            "calendar_remove": {897                "count": 3417898            },899            "email_query": {900                "count": 6069901            },902            "email_sendemail": {903                "count": 5814904            },905            "play_radio": {906                "count": 3672907            },908            "play_podcasts": {909                "count": 3213910            },911            "lists_query": {912                "count": 2601913            },914            "lists_remove": {915                "count": 2652916            },917            "lists_createoradd": {918                "count": 1989919            },920            "transport_taxi": {921                "count": 1173922            },923            "transport_traffic": {924                "count": 765925            },926            "qa_definition": {927                "count": 2907928            },929            "qa_maths": {930                "count": 1275931            },932            "social_post": {933                "count": 4131934            },935            "qa_currency": {936                "count": 1989937            },938            "email_addcontact": {939                "count": 612940            },941            "email_querycontact": {942                "count": 1326943            }944        }945    },946    "train": {947        "num_samples": 587214,948        "number_of_characters": 20507758,949        "number_texts_intersect_with_train": null,950        "min_text_length": 1,951        "average_text_length": 34.92382334208653,952        "max_text_length": 295,953        "unique_text": 565055,954        "unique_labels": 60,955        "labels": {956            "alarm_set": {957                "count": 9282958            },959            "audio_volume_mute": {960                "count": 5610961            },962            "iot_hue_lightchange": {963                "count": 6375964            },965            "iot_hue_lightoff": {966                "count": 7803967            },968            "iot_hue_lightdim": {969                "count": 3876970            },971            "iot_cleaning": {972                "count": 4743973            },974            "calendar_query": {975                "count": 28866976            },977            "play_music": {978                "count": 32589979            },980            "general_quirky": {981                "count": 28305982            },983            "general_greet": {984                "count": 1275985            },986            "datetime_query": {987                "count": 17850988            },989            "datetime_convert": {990                "count": 2652991            },992            "takeaway_query": {993                "count": 6222994            },995            "alarm_remove": {996                "count": 3978997            },998            "alarm_query": {999                "count": 66301000            },1001            "news_query": {1002                "count": 256531003            },1004            "music_likeness": {1005                "count": 57631006            },1007            "music_query": {1008                "count": 78541009            },1010            "iot_hue_lightup": {1011                "count": 38761012            },1013            "takeaway_order": {1014                "count": 68851015            },1016            "weather_query": {1017                "count": 292231018            },1019            "music_settings": {1020                "count": 26011021            },1022            "general_joke": {1023                "count": 36721024            },1025            "music_dislikeness": {1026                "count": 7141027            },1028            "audio_volume_other": {1029                "count": 9181030            },1031            "iot_coffee": {1032                "count": 63241033            },1034            "audio_volume_up": {1035                "count": 56101036            },1037            "iot_wemo_on": {1038                "count": 24481039            },1040            "iot_hue_lighton": {1041                "count": 11221042            },1043            "iot_wemo_off": {1044                "count": 26521045            },1046            "audio_volume_down": {1047                "count": 26521048            },1049            "qa_stock": {1050                "count": 77521051            },1052            "play_radio": {1053                "count": 144331054            },1055            "recommendation_locations": {1056                "count": 88231057            },1058            "qa_factoid": {1059                "count": 277441060            },1061            "calendar_set": {1062                "count": 413101063            },1064            "play_audiobook": {1065                "count": 76501066            },1067            "play_podcasts": {1068                "count": 98431069            },1070            "social_query": {1071                "count": 55081072            },1073            "transport_query": {1074                "count": 115771075            },1076            "email_sendemail": {1077                "count": 180541078            },1079            "recommendation_movies": {1080                "count": 35701081            },1082            "lists_query": {1083                "count": 100981084            },1085            "play_game": {1086                "count": 57121087            },1088            "transport_ticket": {1089                "count": 64771090            },1091            "recommendation_events": {1092                "count": 96901093            },1094            "email_query": {1095                "count": 213181096            },1097            "transport_traffic": {1098                "count": 59671099            },1100            "cooking_query": {1101                "count": 2041102            },1103            "qa_definition": {1104                "count": 136171105            },1106            "calendar_remove": {1107                "count": 159121108            },1109            "lists_remove": {1110                "count": 83641111            },1112            "cooking_recipe": {1113                "count": 105571114            },1115            "email_querycontact": {1116                "count": 64771117            },1118            "lists_createoradd": {1119                "count": 90271120            },1121            "transport_taxi": {1122                "count": 51001123            },1124            "qa_maths": {1125                "count": 39781126            },1127            "social_post": {1128                "count": 144331129            },1130            "qa_currency": {1131                "count": 72421132            },1133            "email_addcontact": {1134                "count": 27541135            }1136        }1137    }1138}1139```1140 1141</details>1142 1143---1144*This dataset card was automatically generated using [MTEB](https://github.com/embeddings-benchmark/mteb)*