vania-janet/multiturn-rag-retrieval-data huggingface dataset:
food and drink food baked goods 
 food and drink food breakfast foods 
 food and drink food candy and sweets 
 food and drink food condiments and dressings 
 food and drink food fast food 
 food and drink food frozen food 
 food and drink food fruits and vegetables 
 food and drink food grains and pasta 
 food and drink food herbs and spices 
 food and drink food salads 
 food and drink food snack foods 
 food and drink food allergies 
 food and drink food and grocery retailers bakeries 
 food and drink food and grocery retailers butchers 
 food and drink food and grocery retailers convenience stores 
 food and drink food and grocery retailers grocery stores 
 food and drink gastronomy slow food 
 food and drink gastronomy 
 food and drink health and low-fat cooking 
 food and drink healthy eating 
 food and drink kosher food 
 food and drink vegan 
 food and drink vegetarian 
 food and drink 
 health and fitness addiction alcoholism 
 health and fitness addiction smoking addiction 
 health and fitness addiction substance abuse 
 health and fitness addiction 
 health and fitness aging 
 health and fitness alternative medicine herbs for health 
 health and fitness alternative medicine holistic healing 
 health and fitness alternative medicine homeopathy 
 health and fitness alternative medicine 
 health and fitness dental care 
 health and fitness disease aids and hiv 
 health and fitness disease allergies 
 health and fitness disease arthritis 
 health and fitness disease asthma 
 health and fitness disease autism and pdd 
 health and fitness disease cancer brain tumor 
 health and fitness disease cancer 
 health and fitness disease cholesterol 
 health and fitness disease chronic fatigue syndrome 
 health and fitness disease chronic pain 
 health and fitness disease cold and flu 
 health and fitness disease deafness 
 health and fitness disease diabetes 
 health and fitness disease epidemic 
 health and fitness disease epilepsy 
 health and fitness disease gerd and acid reflux 
 health and fitness disease headaches and migraines 
 health and fitness disease heart disease 
 health and fitness disease ibs and crohn's disease 
 health and fitness disease incontinence 
 health and fitness disease infertility 
 health and fitness disease thyroid disease 
 health and fitness disease 
 health and fitness disorders mental disorder a.d.d.
v1 [cURL](https://cloud.ibm.com/apidocs/assistant/assistant-v1updateexample)[node](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=nodeupdateexample)[java](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=javaupdateexample)[python](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=pythonupdateexample) 
 Delete user input example Delete a user input example from an intent. v1 [cURL](https://cloud.ibm.com/apidocs/assistant/assistant-v1deleteexample)[node](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=nodedeleteexample)[java](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=javadeleteexample)[python](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=pythondeleteexample) 
 List counterexamples List the counterexamples for a workspace. Counterexamples are examples that have been marked as irrelevant input. v1 [cURL](https://cloud.ibm.com/apidocs/assistant/assistant-v1listcounterexamples)[node](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=nodelistcounterexamples)[java](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=javalistcounterexamples)[python](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=pythonlistcounterexamples) 
 Create counterexample Add a new counterexample to a workspace. Counterexamples are examples that have been marked as irrelevant input.
"transcript": "the latest weather report "
}
],
"final": true
},
{
"word_alternatives":
{
"start_time": 0.15,
"alternatives":
{
"confidence": 1.0,
"word": "a"
}
],
"end_time": 0.3
},
{
"start_time": 0.3,
"alternatives":
{
"confidence": 1.0,
"word": "line"
}
],
"end_time": 0.64
},
. . .
{
"start_time": 4.58,
"alternatives":
{
"confidence": 0.98,
"word": "Colorado"
}
],
"end_time": 5.16
},
{
"start_time": 5.16,
"alternatives":
{
"confidence": 0.98,
"word": "on"
}
],
"end_time": 5.32
},
{
"start_time": 5.32,
"alternatives":
{
"confidence": 0.98,
"word": "Sunday"
}
],
"end_time": 6.04
}
],
"keywords_result": {
"tornadoes":
{
"normalized_text": "tornadoes",
"start_time": 3.03,
"confidence": 0.98,
"end_time": 3.84
}
],
"colorado":
{
"normalized_text": "Colorado",
"start_time": 4.58,
"confidence": 0.98,
"end_time": 5.16
}
]
-0.0012655263999477029],-0.006504554767161608,-0.0012787750456482172],-0.006570643279701471,-0.0012917679268866777],-0.006635386496782303,-0.0013044961960986257],-0.00669874157756567,-0.001316951704211533],-0.006760666612535715,-0.0013291258364915848],-0.006821119226515293,-0.0013410106766968966],-0.006880058906972408,-0.0013525980757549405],-0.0069374460726976395,-0.0013638801174238324],-0.006993240676820278,-0.0013748492347076535],-0.00704740546643734,-0.001385497860610485],
Elasticsearch features that use files on the file system do so by accepting the path to the file when defining the index. An uploaded file example.txt is at /data/ibm_file_sync/current/example.txt. This list contains examples and is not exhaustive.



* [Keep Words Token Filter](https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-keep-words-tokenfilter.html)
* [Mapping Char Filter](https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-mapping-charfilter.html)
* [Compound Word Token Filters](https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-compound-word-tokenfilter.html)
-0.0014544619480147958],-0.006209257058799267,-0.0014488756423816085],-0.006098235957324505,-0.001443121233023703],-0.005984046962112188,-0.0014372025616467],-0.005866767838597298,-0.0014311237027868629],-0.00574647868052125,-0.0014248888473957777],-0.005623260512948036,-0.0014185021864250302],-0.00549719575792551,-0.001411968027241528],-0.005368369165807962,-0.0014052906772121787],-0.005236865486949682,-0.0013984745601192117],-0.005102772265672684,-0.0013915242161601782],
,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125
[delete-corpus](https://cloud.ibm.com/apidocs/speech-to-textdelete-a-corpus) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id, corpus_name Delete a corpus. 
 [get-corpus](https://cloud.ibm.com/apidocs/speech-to-textget-a-corpus) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id, corpus_name Get a corpus. 
 [list-corpora](https://cloud.ibm.com/apidocs/speech-to-textlist-corpora) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id List corpora. 
 [add-word](https://cloud.ibm.com/apidocs/speech-to-textadd-a-custom-word) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id, word_name, word, sounds_like, display_as Add a custom word. 
 [add-words](https://cloud.ibm.com/apidocs/speech-to-textadd-custom-words) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id, words Add custom words.
"status": "analyzed"
},
{
"name": "corpus2",
"total_words": 0,
"out_of_vocabulary_words": 0,
"status": "being_processed"
},
{
"name": "corpus3",
"total_words": 0,
"out_of_vocabulary_words": 0,
"status": "undetermined",
"error": "Analysis of corpus 'corpus3.txt' failed. Please try adding the corpus again by setting the 'allow_overwrite' flag to 'true'."
}
]
}
Show more





 List a specific corpus example 

The following example returns information about the corpus that is named corpus1 for the custom model with the specified customization ID:

IBM Cloud

curl -X GET -u "apikey:{apikey}" "{url}/v1/customizations/{customization_id}/corpora/corpus1"

IBM Cloud Pak for Data

curl -X GET --header "Authorization: Bearer {token}" "{url}/v1/customizations/{customization_id}/corpora/corpus1"

The corpus, which is based on a previous-generation model, is fully analyzed and contains more than 400 OOV words:

{
"name": "corpus1",
"total_words": 5037,
"out_of_vocabulary_words": 401,
"status": "analyzed"
}







 Deleting a corpus from a custom language model 

Use the DELETE /v1/customizations/{customization_id}/corpora/{corpus_name} method to remove an existing corpus from a custom language model.



* If the custom model is based on a next-generation model, the service deletes the corpus from the model.
* If the custom model is based on a previous-generation model, the service deletes the corpus from the model and removes OOV words that are associated with the corpus from the custom model's words resource.
-0.0015271507436409593],-0.007693358696997166,-0.0015257997438311577],-0.007662998046725988,-0.001524226157926023],-0.007628363557159901,-0.0015224309172481298],-0.007589480374008417,-0.001520415535196662],-0.007546377368271351,-0.0015181814087554812],-0.007499085273593664,-0.0015157301677390933],-0.007447638548910618,-0.0015130635583773255],-0.0073920744471251965,-0.001510183559730649],-0.0073324330151081085,-0.0015070922672748566],-0.007268757093697786,-0.0015037917764857411],
,-0.0006315035279840231],-0.01434902474284172,-0.0006347334710881114],-0.014418281614780426,-0.000637797056697309],-0.014483727514743805,-0.0006406920729205012],-0.014545314945280552,-0.0006434164242818952],-0.014603001065552235,-0.0006459681899286807],-0.01465674303472042,-0.0006483455072157085],-0.014706503599882126,-0.0006505466299131513],-0.01475224457681179,-0.0006525700446218252],-0.014793935231864452,-0.0006544141797348857],-0.01483154296875,-0.0006560778128914535]
[add-word](https://cloud.ibm.com/apidocs/speech-to-textadd-a-custom-word) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id, word_name, word, sounds_like, display_as Add a custom word. 
 [add-words](https://cloud.ibm.com/apidocs/speech-to-textadd-custom-words) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id, words Add custom words. 
 [delete-word](https://cloud.ibm.com/apidocs/speech-to-textdelete-a-custom-word) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id, word_name Delete a custom word. 
 [get-word](https://cloud.ibm.com/apidocs/speech-to-textget-a-custom-word) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id, word_name Get a custom word. 
 [list-words](https://cloud.ibm.com/apidocs/speech-to-textlist-custom-words) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id, word_type, sort List custom words.
v1 [cURL](https://cloud.ibm.com/apidocs/assistant/assistant-v1getcounterexample)[node](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=nodegetcounterexample)[java](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=javagetcounterexample)[python](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=pythongetcounterexample) 
 Update counterexample Update the text of a counterexample. Counterexamples are examples that have been marked as irrelevant input. v1 [cURL](https://cloud.ibm.com/apidocs/assistant/assistant-v1updatecounterexample)[node](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=nodeupdatecounterexample)[java](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=javaupdatecounterexample)[python](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=pythonupdatecounterexample) 
 Delete counterexample Delete a counterexample from a workspace. Counterexamples are examples that have been marked as irrelevant input. v1 [cURL](https://cloud.ibm.com/apidocs/assistant/assistant-v1deletecounterexample)[node](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=nodedeletecounterexample)[java](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=javadeletecounterexample)[python](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=pythondeletecounterexample) 
 List entities List the entities for a workspace.
,-0.00031295340158976614],-0.011366802267730236,-0.0003190309798810631],-0.011583072133362293,-0.0003251009911764413],-0.011798961088061333,-0.0003311603213660419],-0.012014358304440975,-0.00033720588544383645],-0.012229151092469692,-0.0003432344237808138],-0.012443223968148232,-0.00034924279316328466],-0.012656462378799915,-0.0003552277630660683],-0.012868750840425491,-0.00036118601565249264],-0.013079970143735409,-0.00036711429129354656],-0.01329000387340784,-0.0003730093012563884]
-0.007201092783361673,-0.001500284648500383],-0.00712948851287365,-0.0014965732116252184],-0.007053995504975319,-0.0014926602598279715],-0.006974667776376009,-0.0014885484706610441],-0.006891561206430197,-0.0014842408709228039],-0.00680473493412137,-0.0014797404874116182],-0.006714250426739454,-0.0014750504633411765],-0.0066201710142195225,-0.0014701741747558117],-0.006522562820464373,-0.0014651149976998568],-0.006421493832021952,-0.0014598763082176447],-0.006317034363746643,
-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],
society crime property crime embezzlement 
 society crime property crime fraud 
 society crime property crime larceny 
 society crime property crime piracy 
 society crime property crime robbery 
 society crime property crime smuggling 
 society crime property crime usury 
 society crime sexual offense pedophilia 
 society crime sexual offense prostitution 
 society crime sexual offense rape 
 society crime sexual offense 
 society crime 
 society dating 
 society gay life 
 society racism 
 society senior living 
 society sex pornography 
 society sex sex education 
 society sex 
 society social institution divorce 
 society social institution marriage common law marriage 
 society social institution marriage weddings 
 society social institution marriage 
 society teens 
 society unrest and war 
 society welfare healthcare hospital 
 society welfare healthcare 
 society welfare social services volunteering 
 society welfare social services 
 society welfare 
 society work contracts 
 society work retirement 
 society work unemployment 
 society work unions 
 society 
 sports archery 
 sports auto racing nascar 
 sports auto racing rally 
 sports auto racing 
 sports badminton 
 sports baseball 
 sports basketball 
 sports bicycling mountain biking 
 sports bicycling 
 sports billiards 
 sports boat racing 
 sports bobsled 
 sports bodybuilding 
 sports bowling 
 sports boxing 
 sports canoeing and kayaking 
 sports cheerleading 
 sports climbing mountain climbing 
 sports climbing rock climbing 
 sports climbing 
 sports cricket 
 sports curling 
 sports diving 
 sports dog sled 
 sports fencing 
 sports fishing fly fishing 
 sports fishing freshwater fishing 
 sports fishing saltwater fishing 
 sports fishing sport fishing 
 sports fishing 
 sports football 
 sports go kart 
 sports golf 
 sports gymnastics calisthenics 
 sports gymnastics 
 sports handball 
 sports hockey field hockey 
 sports hockey 
 sports horse racing 
 sports horses 
 sports hunting and shooting skeet shooting 
 sports hunting and shooting target shooting 
 sports hunting and shooting 
 sports martial arts judo 
 sports martial arts karate 
 sports martial arts sumo 
 sports martial arts 
 sports motorcycling 
 sports olympics paralympic games 
 sports olympics 
 sports paintball 
 sports parachuting 
 sports polo 
 sports rodeo 
 sports rowing 
 sports rugby
If an allophone is not used in SPR, the Text to Speech service automatically generates the appropriate variant for the given context.



Table 4. Allophones (Italian)

 SPR symbol IPA symbol IPA Unicode Example words 

 'ng' ^1^ ŋg 014B+0067 <br>014B+0261 angolo, lungo 
 'nk' ^1^ ŋk 014B+006B ancora, bianco 



Note:



1. The ng and nk allophones are supported in the IPA specification but cannot be used in SPR.
,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836],-0.01982455514371395,-0.0005564139573834836
v1 [cURL](https://cloud.ibm.com/apidocs/assistant/assistant-v1listcounterexamples)[node](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=nodelistcounterexamples)[java](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=javalistcounterexamples)[python](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=pythonlistcounterexamples) 
 Create counterexample Add a new counterexample to a workspace. Counterexamples are examples that have been marked as irrelevant input. v1 [cURL](https://cloud.ibm.com/apidocs/assistant/assistant-v1createcounterexample)[node](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=nodecreatecounterexample)[java](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=javacreatecounterexample)[python](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=pythoncreatecounterexample) 
 Get counterexample Get information about a counterexample. Counterexamples are examples that have been marked as irrelevant input. v1 [cURL](https://cloud.ibm.com/apidocs/assistant/assistant-v1getcounterexample)[node](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=nodegetcounterexample)[java](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=javagetcounterexample)[python](https://cloud.ibm.com/apidocs/assistant/assistant-v1?code=pythongetcounterexample) 
 Update counterexample Update the text of a counterexample.
[add-word](https://cloud.ibm.com/apidocs/text-to-speechadd-a-custom-word) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id, word, translation, part_of_speech Add a custom word. 
 [add-words](https://cloud.ibm.com/apidocs/text-to-speechadd-custom-words) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id, words Add custom words. 
 [delete-word](https://cloud.ibm.com/apidocs/text-to-speechdelete-a-custom-word) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id, word Delete a custom word. 
 [get-word](https://cloud.ibm.com/apidocs/text-to-speechget-a-custom-word) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id, word Get a custom word. 
 [list-words](https://cloud.ibm.com/apidocs/text-to-speechlist-custom-words) Action username, password, iam_access_token, iam_apikey, iam_url, headers, headers[X-Watson-Learning-Opt-Out], url, customization_id List custom words.
,-0.007785297930240631,-0.0015305652050301433],-0.007785297930240631,-0.0015305652050301433],-0.007785297930240631,-0.0015305652050301433],-0.007785297930240631,-0.0015305652050301433],-0.007785297930240631,-0.0015305652050301433],-0.007785297930240631,-0.0015305652050301433],-0.007785297930240631,-0.0015305652050301433],-0.007785297930240631,-0.0015305652050301433],-0.007785297930240631,-0.0015305652050301433],-0.007785297930240631,-0.0015305652050301433],-0.007785297930240631,
,-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,-0.0008907620795071125],-0.009100929833948612,
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