Dataset Viewer
audio
audioduration (s) 1
20
| audio_filepath
stringlengths 96
96
| text
stringlengths 2
23.5k
| duration
float32 1
20
| source_file
stringclasses 1
value | age_group
stringclasses 6
values | gender
stringclasses 3
values | emotion
stringclasses 5
values | intent
stringclasses 125
values |
|---|---|---|---|---|---|---|---|---|
/external2/datasets/hf_data_output/audio_chunks/9a2e5020-160a-41bd-942f-51abee9636a0_chunk_1.wav
|
logical clocks. Use logical clocks instead of physical time stamps. Logical clocks can be incremented as needed, avoiding the limitations of physical time. Hybrid clocks. Combine physical and logical clocks to extend the range of time stamps. This approach uses physical time for most transactions and switches to AGE_18_30 GER_MALE EMOTION_NEU INTENT_EXPLAIN
| 20 |
train.json
|
18_30
|
MALE
|
NEU
|
EXPLAIN
|
|
/external2/datasets/hf_data_output/audio_chunks/b8d908dd-a8dd-44a8-b8b0-d1a561eaaa9c_chunk_1.wav
|
show select select average of employee salary from table person from table employee group by group by where where ID is equals to where name is equals to some. AGE_30_45 GER_MALE EMOTION_NEU INTENT_INSTRUCT
| 20 |
train.json
|
30_45
|
MALE
|
NEU
|
INSTRUCT
|
|
/external2/datasets/hf_data_output/audio_chunks/a11aea91-cf09-4584-9f89-5c18c092d4fb_chunk_2.wav
|
So, it may be useful for the, uh, it may be useful for the transaction states, optimistic concurrency control, uh, without any E time, without any E time delay, uh, fast processing, and, uh, AGE_30_45 GER_MALE EMOTION_NEU INTENT_EXPLAIN
| 12.92 |
train.json
|
30_45
|
MALE
|
NEU
|
EXPLAIN
|
|
/external2/datasets/hf_data_output/audio_chunks/a5a8fffb-c4d5-4ae5-ad9a-d5edcab33bf0_chunk_1.wav
|
priority scheduling and there are two types of scheduling, the primitive scheduling and non primitive scheduling. In the fixed priority test, it depends upon the priority given by the processes and depending upon the priority the OS system schedules. AGE_30_45 GER_MALE EMOTION_SAD INTENT_EXPLAIN
| 20 |
train.json
|
30_45
|
MALE
|
SAD
|
EXPLAIN
|
|
/external2/datasets/hf_data_output/audio_chunks/9ecce51e-632d-49da-a879-a94799fd6e70_chunk_2.wav
|
manuscript contains many many filters. The routing filter may may allows different types of filters to to understand each and every each and every content. The root map the root map also introduce us to AGE_18_30 GER_MALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
18_30
|
MALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/72a657e9-10ce-472c-81ed-9b32ecb030fc_chunk_2.wav
|
the most frequent values of the variables and these three can help us in solving or handling missing data in the data set. AGE_30_45 GER_MALE EMOTION_NEU INTENT_INFORM
| 10.52 |
train.json
|
30_45
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/a19f7e05-105e-46af-a088-594473746287_chunk_2.wav
|
Okay. AGE_30_45 GER_MALE EMOTION_SAD INTENT_ACCEPT
| 20 |
train.json
|
30_45
|
MALE
|
SAD
|
ACCEPT
|
|
/external2/datasets/hf_data_output/audio_chunks/9995ab69-97e2-45fc-a7b0-1c8e0066b592_chunk_0.wav
|
The hosting in the Java can be JavaScript can be using there variable constructors in the class names by the modifiers it can be cancelled to the access to the other classes suppose you want to access there hosting of the JavaScript it can be default or non access or non access it can be accessed by any AGE_18_30 GER_MALE EMOTION_NEU INTENT_INFORM
| 20 |
train.json
|
18_30
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/c0976615-8b78-489e-b8bd-48a9c8735d2e_chunk_2.wav
|
situation and personal and personal interest. The amount of losses an investor is prepared to handle while making an investment. AGE_18_30 GER_MALE EMOTION_NEU INTENT_INFORM
| 10.88 |
train.json
|
18_30
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/acd88336-2294-41fb-a9c0-306a3a427463_chunk_0.wav
|
AngularJS is a AngularJS is a framework of JavaScript as it provides so many it has a collection of libraries as we can call it as a AGE_18_30 GER_FEMALE EMOTION_SAD INTENT_EXPLAIN
| 20 |
train.json
|
18_30
|
FEMALE
|
SAD
|
EXPLAIN
|
|
/external2/datasets/hf_data_output/audio_chunks/ba38e9b7-a71a-4552-bf8a-d36df7811f75_chunk_0.wav
|
microservices architecture to manage scalable database interactions. implementing to manage scalable database interactions in a microservices architecture, you can use the database service pattern and other strategies like database AGE_18_30 GER_FEMALE EMOTION_HAP INTENT_INFORM
| 20 |
train.json
|
18_30
|
FEMALE
|
HAP
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/a50ba8c3-c741-4d21-b9ef-de16881b7eec_chunk_2.wav
|
Okay. AGE_45_60 GER_FEMALE EMOTION_SAD INTENT_ACKNOWLEDGEMENT
| 20 |
train.json
|
45_60
|
FEMALE
|
SAD
|
ACKNOWLEDGEMENT
|
|
/external2/datasets/hf_data_output/audio_chunks/c0c1e82e-1c46-4c0d-9753-6296fb994e99_chunk_1.wav
|
financial insights and we have to predict analysis we have to give enhance security for the uh from the cyber crimes and we should give to long D passwords and AGE_30_45 GER_FEMALE EMOTION_NEU INTENT_INSTRUCT
| 14.56 |
train.json
|
30_45
|
FEMALE
|
NEU
|
INSTRUCT
|
|
/external2/datasets/hf_data_output/audio_chunks/abda8af1-83f9-43b1-bd61-676e3427580e_chunk_1.wav
|
Hello. AGE_18_30 GER_MALE EMOTION_SAD INTENT_GREET
| 14.86 |
train.json
|
18_30
|
MALE
|
SAD
|
GREET
|
|
/external2/datasets/hf_data_output/audio_chunks/8dffc17f-9e01-4b30-8d58-94dd30f08411_chunk_0.wav
|
So that's members we can use long instead of. The old issues will be prevented when we AGE_45_60 GER_FEMALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
45_60
|
FEMALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/65e0eb57-20f4-4010-ae59-069794e8e6d9_chunk_3.wav
|
pointers to the data rows that contain the actual data. AGE_18_30 GER_MALE EMOTION_NEU INTENT_INFORM
| 5.52 |
train.json
|
18_30
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/a7c264c8-6acd-4558-b1a1-4f1cfbeef032_chunk_1.wav
|
Okay. AGE_30_45 GER_MALE EMOTION_SAD INTENT_ACKNOWLEDGE
| 2.2 |
train.json
|
30_45
|
MALE
|
SAD
|
ACKNOWLEDGE
|
|
/external2/datasets/hf_data_output/audio_chunks/8c352597-a9df-4ab0-b8b4-c3e3aba269d8_chunk_3.wav
|
is this AGE_30_45 GER_FEMALE EMOTION_ANG INTENT_CONFIRM
| 5.16 |
train.json
|
30_45
|
FEMALE
|
ANG
|
CONFIRM
|
|
/external2/datasets/hf_data_output/audio_chunks/a5c8ae7c-56f7-4f8e-b5fe-4d1ff8ea65c7_chunk_3.wav
|
them to sleep. AGE_18_30 GER_FEMALE EMOTION_HAP INTENT_INFORM
| 1.02 |
train.json
|
18_30
|
FEMALE
|
HAP
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/b7a417e3-1709-4391-bf8f-f58eab343cf5_chunk_1.wav
|
deletes the data of the table whereas the structure of the tables remains same but the difference between these two is delete function allows us to delete the data by with the help of a command in where clause whereas truncate doesn't provide these features. By using truncate we can delete we need to delete AGE_18_30 GER_MALE EMOTION_NEU INTENT_EXPLAIN
| 20 |
train.json
|
18_30
|
MALE
|
NEU
|
EXPLAIN
|
|
/external2/datasets/hf_data_output/audio_chunks/d122a008-3753-443b-bb77-9fab739a5562_chunk_1.wav
|
cooperative banks take less interest rates compared to the commercial banks and commercial banks uh charge more interest rates compared to the AGE_30_45 GER_FEMALE EMOTION_NEU INTENT_COMPARE
| 8.98 |
train.json
|
30_45
|
FEMALE
|
NEU
|
COMPARE
|
|
/external2/datasets/hf_data_output/audio_chunks/a2556e7a-1e03-4b0f-8675-f45fb1e6512c_chunk_1.wav
|
model is nothing but when we have this many objects that is related to many objects that is called many to many and we have that's the cardinality and if you consider a many to many relationship between like students and courses AGE_18_30 GER_FEMALE EMOTION_NEU INTENT_INFORM
| 20 |
train.json
|
18_30
|
FEMALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/9503d94b-4074-4610-b214-0281968c23d7_chunk_0.wav
|
Okay. AGE_18_30 GER_FEMALE EMOTION_SAD INTENT_ACKNOWLEDGE
| 20 |
train.json
|
18_30
|
FEMALE
|
SAD
|
ACKNOWLEDGE
|
|
/external2/datasets/hf_data_output/audio_chunks/c27d1d84-118d-4f98-a074-8e36a92d961f_chunk_0.wav
|
to issue the ENTITY_CURRENCY currency END and to monitor the private banks. Like uh uh ENTITY_ORGANIZATION Reserve Bank of India END is also has the uh the main function of the ENTITY_ORGANIZATION Reserve Bank of India END is also to monitor the banks like to issue the ENTITY_CURRENCY currency END or to uh monitor the foreign foreign investors. AGE_30_45 GER_MALE EMOTION_NEU INTENT_INFORM
| 20 |
train.json
|
30_45
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/93bf3d79-61b3-4b02-b3c1-0f3d5d01f805_chunk_0.wav
|
What are the benefit what are the benefit using performance the benefit of using producers does improve AGE_0_18 GER_MALE EMOTION_SAD INTENT_QUESTION
| 20 |
train.json
|
0_18
|
MALE
|
SAD
|
QUESTION
|
|
/external2/datasets/hf_data_output/audio_chunks/c07c60d5-dbff-4f6a-9237-514c5a5f1a80_chunk_0.wav
|
Analyze the impact of IO device performance and overall system efficiency and responsiveness. The impact of IO different Linux. AGE_30_45 GER_MALE EMOTION_SAD INTENT_INSTRUCT
| 10.08 |
train.json
|
30_45
|
MALE
|
SAD
|
INSTRUCT
|
|
/external2/datasets/hf_data_output/audio_chunks/a91f7f72-89cf-46db-9428-0ea4d9b3ed75_chunk_0.wav
|
Okay. AGE_30_45 GER_MALE EMOTION_SAD INTENT_ACKNOWLEDGE
| 20 |
train.json
|
30_45
|
MALE
|
SAD
|
ACKNOWLEDGE
|
|
/external2/datasets/hf_data_output/audio_chunks/6a8f0cc3-bf46-4f83-a2c6-9a0def5de3e8_chunk_0.wav
|
Alter table command can be used for insertion insertion of any link. AGE_0_18 GER_FEMALE EMOTION_NEU INTENT_INFORM
| 12.12 |
train.json
|
0_18
|
FEMALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/5e5cb890-1452-4c89-ba46-bf8493b91fe3_chunk_2.wav
|
lead string segments where paging divides memory into fixed size blocks called pages combining segmentation and paging brings the benefits of both approaches providing logical organization with segmentation and efficient memory use with paging. AGE_30_45 GER_MALE EMOTION_NEU INTENT_INFORM
| 12.92 |
train.json
|
30_45
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/d35a822c-c37a-40ee-adb2-dccac37684f0_chunk_0.wav
|
That's it, okay? The average is like that. AGE_30_45 GER_MALE EMOTION_SAD INTENT_ACKNOWLEDGE
| 16.200001 |
train.json
|
30_45
|
MALE
|
SAD
|
ACKNOWLEDGE
|
|
/external2/datasets/hf_data_output/audio_chunks/ae9a7870-7d1b-4a08-b85d-4d8479e8a9dc_chunk_1.wav
|
data from one table into another. So, for example, to insert multiple rows at once, we can use insert into and then the table name, and then the column one and two and the values of column one and two. This allows efficient insertion of large volumes of data in a single operation. AGE_30_45 GER_MALE EMOTION_SAD INTENT_INSTRUCT
| 19.6 |
train.json
|
30_45
|
MALE
|
SAD
|
INSTRUCT
|
|
/external2/datasets/hf_data_output/audio_chunks/6ff2bf85-7ae9-4c25-8e60-53bf8c92992c_chunk_3.wav
|
wait for graph for cycles. A cycle indicates that a set of transactions are waiting on each other. AGE_18_30 GER_MALE EMOTION_NEU INTENT_EXPLAIN
| 5.4 |
train.json
|
18_30
|
MALE
|
NEU
|
EXPLAIN
|
|
/external2/datasets/hf_data_output/audio_chunks/660a2fbd-3524-4f11-b3d1-5c8e908f9bbe_chunk_1.wav
|
reading the allotted and waiting time shop time stop based on the conflict resolution and right right conflict later transition roll back read right conflict transition ordering and air the transition aborting the transitions and ensuring the trans AGE_18_30 GER_MALE EMOTION_NEU INTENT_EXPLAIN
| 18.639999 |
train.json
|
18_30
|
MALE
|
NEU
|
EXPLAIN
|
|
/external2/datasets/hf_data_output/audio_chunks/6242e3d3-13c3-4c72-897f-49e167601510_chunk_1.wav
|
Okay, guys. AGE_30_45 GER_MALE EMOTION_SAD INTENT_ACKNOWLEDGEMENT
| 20 |
train.json
|
30_45
|
MALE
|
SAD
|
ACKNOWLEDGEMENT
|
|
/external2/datasets/hf_data_output/audio_chunks/6afeaf7e-1631-4cd0-94a8-7798b094376d_chunk_0.wav
|
overflow issues be prevented when calculating factorials and what are some alternative methods for large numbers. We can have some alternate methods for large AGE_18_30 GER_FEMALE EMOTION_SAD INTENT_QUESTION
| 20 |
train.json
|
18_30
|
FEMALE
|
SAD
|
QUESTION
|
|
/external2/datasets/hf_data_output/audio_chunks/81389e9f-d9d9-4a2b-86a1-d59cf5876de9_chunk_1.wav
|
I think I'm just gonna finish cleaning up these little leaves. AGE_18_30 GER_MALE EMOTION_NEU INTENT_ACTION
| 2.68 |
train.json
|
18_30
|
MALE
|
NEU
|
ACTION
|
|
/external2/datasets/hf_data_output/audio_chunks/7b9d1fb7-f4c0-4050-bb8e-a595eda739eb_chunk_0.wav
|
the important of HTML doc type is for typing the doc saving in doc site. AGE_30_45 GER_MALE EMOTION_SAD INTENT_INFORM
| 15.3 |
train.json
|
30_45
|
MALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/93414be1-20bf-4e01-9b3f-3c6ec441cdfe_chunk_2.wav
|
operating operating system can implement security measures and data can measure all these in this operating AGE_18_30 GER_FEMALE EMOTION_NEU INTENT_INFORM
| 6.8 |
train.json
|
18_30
|
FEMALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/b51f8b43-3e0a-4eb4-b9fc-aee39c23b62a_chunk_2.wav
|
Put the here. AGE_30_45 GER_MALE EMOTION_SAD INTENT_COMMAND
| 3.98 |
train.json
|
30_45
|
MALE
|
SAD
|
COMMAND
|
|
/external2/datasets/hf_data_output/audio_chunks/889650c5-e68e-4589-8038-ae54f5f54543_chunk_1.wav
|
Okay, test the candidate data Hindi plus plus candidate key is equal to set speed. candidate. AGE_30_45 GER_MALE EMOTION_SAD INTENT_INSTRUCT
| 20 |
train.json
|
30_45
|
MALE
|
SAD
|
INSTRUCT
|
|
/external2/datasets/hf_data_output/audio_chunks/6d3ad6ff-33aa-46a7-9cd2-4a3adb7ea6d2_chunk_1.wav
|
effective query writing, pure data modeling, ignore hand handwear limitations. It AGE_18_30 GER_FEMALE EMOTION_SAD INTENT_INFORM
| 10.48 |
train.json
|
18_30
|
FEMALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/b1e1e0ec-c042-488b-81e5-1f95a7abadbd_chunk_0.wav
|
Dynamic memory allocation is a program technique that allows a program to request memory space at runtime as needed rather than having to preallocated at a fixed at a fixed amount of memory when the program starts. This AGE_0_18 GER_MALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
0_18
|
MALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/9fc0dd20-370b-4cb6-b6e0-cb4cba5c34a6_chunk_1.wav
|
planning and solving problems like a human being. Strong AI can plan head according to current knowledge and adapt to an environment as changes occur. Example of AI that approaching. AGE_30_45 GER_FEMALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
30_45
|
FEMALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/ab10dca3-88d9-41ab-8828-5ff1ad187723_chunk_0.wav
|
I'm really sorry. AGE_30_45 GER_MALE EMOTION_SAD INTENT_APOLOGIZE
| 20 |
train.json
|
30_45
|
MALE
|
SAD
|
APOLOGIZE
|
|
/external2/datasets/hf_data_output/audio_chunks/a38a836c-0e19-4a4d-9017-4098608ff78c_chunk_0.wav
|
M. AGE_30_45 GER_FEMALE EMOTION_SAD INTENT_OTHER
| 20 |
train.json
|
30_45
|
FEMALE
|
SAD
|
OTHER
|
|
/external2/datasets/hf_data_output/audio_chunks/93c8f304-2b9d-45b2-99c8-26f030bc8b04_chunk_0.wav
|
It is essential to meet deadlines which will interrupt the primitive scheduling. Like while using shortest job for scheduling, there will have a case that non primitive scheduling which will result in the many number of times the process will get execute and after AGE_18_30 GER_MALE EMOTION_HAP INTENT_INFORM
| 20 |
train.json
|
18_30
|
MALE
|
HAP
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/84eec41f-c4aa-4fad-b5e5-175bf77fda24_chunk_1.wav
|
using optic concern control as OCC it also divided as resources and system that concluding and proceed with remains independently they how OCC efficient AGE_0_18 GER_MALE EMOTION_NEU INTENT_INFORM
| 20 |
train.json
|
0_18
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/8c57a8f3-bfdd-424f-8891-848554497d86_chunk_0.wav
|
there are many ways to handle missing data in data set suppose if you have a if you find a missing data in the data set we can can take all mean of mean of that column and by using function fill can fill that missing value missing value by the mean value or median value of AGE_18_30 GER_MALE EMOTION_NEU INTENT_EXPLAIN
| 20 |
train.json
|
18_30
|
MALE
|
NEU
|
EXPLAIN
|
|
/external2/datasets/hf_data_output/audio_chunks/7803ad01-aa4e-4ae0-99d5-01d402b1f7c7_chunk_0.wav
|
arising in transition state management in distributing system. AGE_45_60 GER_FEMALE EMOTION_HAP INTENT_INFORM
| 20 |
train.json
|
45_60
|
FEMALE
|
HAP
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/6e7e36f7-484e-447c-ae44-5855789ba59d_chunk_1.wav
|
in ENTITY_DATE 2014 END by the ENTITY_ORGANIZATION government of India END aims to promote financial inclusion by providing universal access to bank facility particularly for unreserved and unbanked population in has played a significant role in expanding access to financial services. AGE_18_30 GER_MALE EMOTION_NEU INTENT_INFORM
| 20 |
train.json
|
18_30
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/d2c7fb02-f1c2-4d98-9c0e-d29b7e3ecc3e_chunk_2.wav
|
it involves password or pin. Something they use have include the secure token token time based one time password generate app user phones. In order to have some they usually involves biometric authority like fingerprint recognition, face recognition, voice recognition. How to FA? AGE_18_30 GER_MALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
18_30
|
MALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/b484a4cf-0f5a-4497-ae16-ef17d3af62c7_chunk_0.wav
|
When would you use a pointer versus a reference in C code and why? AGE_45_60 GER_FEMALE EMOTION_SAD INTENT_QUESTION
| 10.86 |
train.json
|
45_60
|
FEMALE
|
SAD
|
QUESTION
|
|
/external2/datasets/hf_data_output/audio_chunks/7a310e36-a3b1-4269-b902-08108bb31985_chunk_0.wav
|
What are the legal implications of issuing a guarantee in ENTITY_COUNTRY India END? legal implications are issuing a guarantee is to they should have some applications which regarding to the person, some authentications. AGE_18_30 GER_MALE EMOTION_NEU INTENT_QUESTION
| 20 |
train.json
|
18_30
|
MALE
|
NEU
|
QUESTION
|
|
/external2/datasets/hf_data_output/audio_chunks/7732d775-5d80-4430-905e-4dfa1736196f_chunk_0.wav
|
I'm going to go. AGE_30_45 GER_FEMALE EMOTION_SAD INTENT_STATEMENT
| 20 |
train.json
|
30_45
|
FEMALE
|
SAD
|
STATEMENT
|
|
/external2/datasets/hf_data_output/audio_chunks/60c47001-a518-40f3-b2dc-265d7d1f1243_chunk_2.wav
|
to calculate the factorial methods. In that we can add the add the values to the strings by appending the string to the values we can able to concatenate the values so that we can able to proceed with the factorial of large numbers. You can using the bitwise AGE_30_45 GER_MALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
30_45
|
MALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/ad87f0ff-e06b-4c0f-ade2-f54077e686fb_chunk_1.wav
|
At that time the power has been fluctuated due to some issues in ENTITY_ORGANIZATION bank END. We will receive a message that we have received a money from ENTITY_ORGANIZATION bank END. Uh but if we went to ENTITY_ORGANIZATION bank END means we didn't receive a money. So these are AGE_30_45 GER_MALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
30_45
|
MALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/5eb6706c-1f1f-4927-b72f-1f6680adcd88_chunk_1.wav
|
scalability and flexibility and how fast can the SQL query works while compared to the others SQL traditional databases. AGE_0_18 GER_FEMALE EMOTION_HAP INTENT_INFORM
| 14.56 |
train.json
|
0_18
|
FEMALE
|
HAP
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/71160551-31c1-45ec-8564-0d6d7d0a45d7_chunk_1.wav
|
DBMS is a set of if in that in the DBMS it if any of the check files are transaction transaction fails and the transaction has to N record a failure state then the DBMS E database N recovers recovery the system with the make sure that the E database is AGE_30_45 GER_FEMALE EMOTION_ANG INTENT_EXPLAIN
| 20 |
train.json
|
30_45
|
FEMALE
|
ANG
|
EXPLAIN
|
|
/external2/datasets/hf_data_output/audio_chunks/87959d62-0f38-463a-9085-b324faf47717_chunk_0.wav
|
I prefer ENTITY_LANGUAGE Python END programming language because it is easy to learn and easy and it consists of simple syntax and it is portable and once we write a code and we execute in different platforms and it is very portable thing and it is interpretable language program. AGE_18_30 GER_FEMALE EMOTION_SAD INTENT_PREFERENCE
| 20 |
train.json
|
18_30
|
FEMALE
|
SAD
|
PREFERENCE
|
|
/external2/datasets/hf_data_output/audio_chunks/cd5f8a23-2fde-4f02-bf96-e34c9be0ae5d_chunk_3.wav
|
the reference manipulation. It is used to reference manipulate. AGE_18_30 GER_MALE EMOTION_SAD INTENT_INFORM
| 5.22 |
train.json
|
18_30
|
MALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/608fb116-978e-4afc-8122-ecbe82fbc3ae_chunk_3.wav
|
I'm going to go. AGE_30_45 GER_FEMALE EMOTION_SAD INTENT_LEAVE
| 20 |
train.json
|
30_45
|
FEMALE
|
SAD
|
LEAVE
|
|
/external2/datasets/hf_data_output/audio_chunks/ac811faf-99a0-4504-b559-936688906b4c_chunk_0.wav
|
So the large cloud providers are Amazon Web Services and Microsoft Azure, Google Cloud platform and another thing is service now, which is also a cloud platform. these are the most large cloud AGE_18_30 GER_FEMALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
18_30
|
FEMALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/bb4ea9cd-3603-444d-84c4-aa261b3e1f2b_chunk_0.wav
|
attenuation it is used to increase the amplitude and modulation of the signal and decrease the noise in the signal. attenation is used to increase the noise in the signal decrease the noise in the signal increase the strength of the signal amplify the AGE_18_30 GER_MALE EMOTION_HAP INTENT_INFORM
| 20 |
train.json
|
18_30
|
MALE
|
HAP
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/611c9a7a-8fa4-42ad-8b32-652c3a9d1c92_chunk_0.wav
|
Hello. AGE_30_45 GER_MALE EMOTION_SAD INTENT_GREET
| 20 |
train.json
|
30_45
|
MALE
|
SAD
|
GREET
|
|
/external2/datasets/hf_data_output/audio_chunks/a8890e73-9706-44fb-82ab-168699faf6e3_chunk_3.wav
|
resource configurations for rollbacks and increasing log consistency, low throughput in the AGE_30_45 GER_MALE EMOTION_NEU INTENT_INFORM
| 5.46 |
train.json
|
30_45
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/ca6eea54-e41a-4685-9d2e-d4a870f7bfe7_chunk_1.wav
|
base one and like top to bottom or bottom to top to bottom or bottom top approaches used to yeah while solving larger problems you need to optimize the codes to effectively perform the K task. AGE_0_18 GER_MALE EMOTION_SAD INTENT_INSTRUCT
| 13.3 |
train.json
|
0_18
|
MALE
|
SAD
|
INSTRUCT
|
|
/external2/datasets/hf_data_output/audio_chunks/98d993da-ad76-478a-8ee3-90f0b922e2b8_chunk_0.wav
|
Time stamping is a technique used in transaction management is a world of transactions. AGE_18_30 GER_MALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
18_30
|
MALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/ba9210fc-362f-4703-89ac-73b91bf4d93d_chunk_0.wav
|
Okay, so basically for D debit card ensures the KYC implements messaging regions which help and which track how
| 20 |
train.json
| |||||
/external2/datasets/hf_data_output/audio_chunks/7c6df2a8-4761-40f8-806d-4cd20c0ca512_chunk_0.wav
|
efficiency and automation N AI can handle representative in the modeling of tasks with high accuracy and speed fields on human workspace and focuses more on the complexity and creative activities then this enhances overall production and effective across AGE_30_45 GER_FEMALE EMOTION_NEU INTENT_INFORM
| 20 |
train.json
|
30_45
|
FEMALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/9301c67f-b34b-4e3d-a0f1-aa69666f7c19_chunk_2.wav
|
So if we have written the error in the code, if the error does not appears in the web page, we cannot know the where we have written the error. AGE_30_45 GER_MALE EMOTION_SAD INTENT_INFORM
| 13.16 |
train.json
|
30_45
|
MALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/a8617f49-6115-4e0a-9f27-308d006174f7_chunk_1.wav
|
will use the values of the parameters to create the execution plan. This means that if the values of the parameters change, the E database server will need to create a new execution plan. This can lead to performance problems if the E database server has to create a new execution plan. AGE_18_30 GER_FEMALE EMOTION_NEU INTENT_INFORM
| 12.58 |
train.json
|
18_30
|
FEMALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/863a2236-89f5-4581-a20d-b24dba14f923_chunk_1.wav
|
is ENTITY_NUMBER 128 END byte hash value the thought to non non computer function security application due to the often used for data integrity verification process in the ENTITY_NUMBER 160 END bit hash but similar similar to has known the weakness and it being passed out in favor of the AGE_18_30 GER_MALE EMOTION_NEU INTENT_INFORM
| 20 |
train.json
|
18_30
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/603ab748-c502-40d5-aa39-c732753d14d1_chunk_0.wav
|
First week. First week. AGE_30_45 GER_FEMALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
30_45
|
FEMALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/943f14d0-83fd-4f57-8355-b5329839be3d_chunk_0.wav
|
related the importance of funds shifting in ULPS to changing market. The importance of funds AGE_18_30 GER_FEMALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
18_30
|
FEMALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/822ccd41-8392-42f7-b729-1cb2036a5f31_chunk_0.wav
|
I'm not sure. AGE_45_60 GER_MALE EMOTION_SAD INTENT_UNCLEAR
| 20 |
train.json
|
45_60
|
MALE
|
SAD
|
UNCLEAR
|
|
/external2/datasets/hf_data_output/audio_chunks/bc406c35-a6c7-4167-8883-b0699bdb3126_chunk_0.wav
|
condition variables are tools to to allow only single thread and avoiding the multi threads like avoiding the deadlocks and some it is used for avoiding many deadlocks. AGE_18_30 GER_FEMALE EMOTION_SAD INTENT_EXPLAIN
| 20 |
train.json
|
18_30
|
FEMALE
|
SAD
|
EXPLAIN
|
|
/external2/datasets/hf_data_output/audio_chunks/64e0ae61-7d42-4f61-8e59-0b50e5bea8e0_chunk_0.wav
|
force. AGE_45_60 GER_MALE EMOTION_SAD INTENT_OTHER
| 10.98 |
train.json
|
45_60
|
MALE
|
SAD
|
OTHER
|
|
/external2/datasets/hf_data_output/audio_chunks/c5124a30-9d8a-4cf3-a1d1-4ec4682846e4_chunk_2.wav
|
in the operation system then required the system objects is the major the operation system can be used to secure the data to anybody no share the that data in information. AGE_18_30 GER_MALE EMOTION_NEU INTENT_INFORM
| 14.96 |
train.json
|
18_30
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/96afb82b-211b-4dd5-ba0b-2efd1d79052a_chunk_1.wav
|
Bank must meet certain criteria set by the in AGE_18_30 GER_MALE EMOTION_ANG INTENT_INFORM
| 6.4 |
train.json
|
18_30
|
MALE
|
ANG
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/bcbfebd0-eb7e-4703-91d6-2b04d1b18024_chunk_1.wav
|
Hello. AGE_30_45 GER_FEMALE EMOTION_SAD INTENT_GREET
| 2.32 |
train.json
|
30_45
|
FEMALE
|
SAD
|
GREET
|
|
/external2/datasets/hf_data_output/audio_chunks/96eaa72c-f9cd-46a8-8cd1-82f68fbc590b_chunk_2.wav
|
class A topics. Thank you. Finished. AGE_45_60 GER_MALE EMOTION_NEU INTENT_ACKNOWLEDGEMENT
| 3.32 |
train.json
|
45_60
|
MALE
|
NEU
|
ACKNOWLEDGEMENT
|
|
/external2/datasets/hf_data_output/audio_chunks/b982d110-1e78-4c62-a49b-d8ee48924e07_chunk_0.wav
|
management application of using point of and management applications point of are mainly using pointing the pointing the system etc differences will be different for each other and AGE_18_30 GER_MALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
18_30
|
MALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/71aa1140-5861-4f2d-919a-7662c9277113_chunk_0.wav
|
Yeah, we can see that how can you deadlock algorithm functions and handle thread level concurrency issues. So we can see that the deadlock detection means it mainly the deadlock. The deadlock means it is a process that which has a continuous process. So we can say that in a deadlock it is an algorithm flows that there are two types of algorithms which AGE_18_30 GER_MALE EMOTION_NEU INTENT_EXPLAIN
| 20 |
train.json
|
18_30
|
MALE
|
NEU
|
EXPLAIN
|
|
/external2/datasets/hf_data_output/audio_chunks/6ba22985-f83b-4295-b568-e1f904bc4c51_chunk_2.wav
|
four types of banks play important uh in the ENTITY_LOCATION Indian END financial system but cater to different customer segments and he have different operational scope. Universal bank range of services customer base scale of operation capital requirements. functions cater AGE_30_45 GER_MALE EMOTION_NEU INTENT_INFORM
| 20 |
train.json
|
30_45
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/bb860aa0-5321-4620-974d-61ccf9680666_chunk_0.wav
|
Transaction states totally influence the performance of a database system because the database system depends on the transactions whether the amount is credited or AGE_30_45 GER_FEMALE EMOTION_ANG INTENT_INFORM
| 20 |
train.json
|
30_45
|
FEMALE
|
ANG
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/9325cc5e-236b-4c01-aabc-b80981c1a3aa_chunk_1.wav
|
Okay. AGE_30_45 GER_MALE EMOTION_SAD INTENT_ACKNOWLEDGEMENT
| 3.88 |
train.json
|
30_45
|
MALE
|
SAD
|
ACKNOWLEDGEMENT
|
|
/external2/datasets/hf_data_output/audio_chunks/c78ee173-c261-46c3-bd27-022ad52d5079_chunk_3.wav
|
there will be no tax for the individual. AGE_0_18 GER_MALE EMOTION_ANG INTENT_INFORM
| 3.12 |
train.json
|
0_18
|
MALE
|
ANG
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/80d50011-b2e6-4a8c-97b3-cda776d12446_chunk_1.wav
|
resistance. used to measure installation applies a high voltage to the circuit which measures the amount of current that flows to the installation. AGE_18_30 GER_MALE EMOTION_NEU INTENT_INFORM
| 16.959999 |
train.json
|
18_30
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/6d88b501-5a43-44c0-9027-2ac520beac5a_chunk_2.wav
|
consistency means if before transaction and after transaction the the transaction will be the constant. It will not do anything. It will be just it will have the consistency and isolation. Coming to the coming to the isolation. It will actually it AGE_18_30 GER_FEMALE EMOTION_NEU INTENT_EXPLAIN
| 20 |
train.json
|
18_30
|
FEMALE
|
NEU
|
EXPLAIN
|
|
/external2/datasets/hf_data_output/audio_chunks/bebb09e9-03cc-4ac1-840c-2f713bcf56df_chunk_0.wav
|
Ah. AGE_30_45 GER_MALE EMOTION_SAD INTENT_SILENCE
| 11.94 |
train.json
|
30_45
|
MALE
|
SAD
|
SILENCE
|
|
/external2/datasets/hf_data_output/audio_chunks/5e2e25dc-5c24-4681-89e3-3a1bac914d0b_chunk_1.wav
|
query complexity and is also if inefficient query plans the E database optimizer may struggle to generate efficient query plans and resource consumption is also there. AGE_0_18 GER_FEMALE EMOTION_NEU INTENT_INFORM
| 20 |
train.json
|
0_18
|
FEMALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/b062660b-6f0b-459b-935d-f90df3a860cc_chunk_0.wav
|
ENTITY_QUESTION_TYPE Can END you explain over and block in application? Deadlock occurs when two or more threads are AGE_18_30 GER_MALE EMOTION_SAD INTENT_QUESTION
| 20 |
train.json
|
18_30
|
MALE
|
SAD
|
QUESTION
|
|
/external2/datasets/hf_data_output/audio_chunks/a18a4833-3fb7-4ede-9278-be162a215b7b_chunk_1.wav
|
So we can use performance metrics tool and measure the monitor various aspect of the database activity. we can use metric like CPU time logical rate execution time weight time. So AGE_18_30 GER_MALE EMOTION_NEU INTENT_INFORM
| 20 |
train.json
|
18_30
|
MALE
|
NEU
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/75b954a6-9ec2-45b4-bde0-eb1091c60b17_chunk_1.wav
|
can be not only represented by just one oval shape. It is double circled so that it is multivalued. We can identify like that. AGE_18_30 GER_FEMALE EMOTION_ANG INTENT_INFORM
| 16.6 |
train.json
|
18_30
|
FEMALE
|
ANG
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/5a8ad69c-1605-4ed0-a053-e0d35806dc2c_chunk_2.wav
|
made to the current page and the shadow page remains unchanged until the transaction is committed. Save point. Save points allow a transaction to be divided into smaller parts if error occurs the transaction can be rolled back to a specific AGE_18_30 GER_MALE EMOTION_SAD INTENT_INSTRUCT
| 20 |
train.json
|
18_30
|
MALE
|
SAD
|
INSTRUCT
|
|
/external2/datasets/hf_data_output/audio_chunks/a9318081-7f24-4206-99e1-e6fa6a57856c_chunk_1.wav
|
essential our deadlines we cannot meet the deadlines without the help of the real time operating systems. And the use of fixed primitive scheduling in real time operating system is if the priority is not fixed and the fixed priority scheduling means if a process AGE_45_60 GER_MALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
45_60
|
MALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/9f8371d9-ad9f-4207-b4f8-f27512d0c8fa_chunk_1.wav
|
of transactions like active, partially committed, committed and aborted. These states help track the progresses of a transaction and ensure consistency, isolation and durability in a database system. Like AGE_30_45 GER_FEMALE EMOTION_SAD INTENT_INFORM
| 20 |
train.json
|
30_45
|
FEMALE
|
SAD
|
INFORM
|
|
/external2/datasets/hf_data_output/audio_chunks/6d58d610-9995-49f5-a10c-22b2bb41944e_chunk_0.wav
|
What does what does a database handle inconsistency during transaction state? Atomicity. Atomicity ensures that a transaction is treated as a single indivisible unit. This means that either all of this AGE_0_18 GER_MALE EMOTION_SAD INTENT_QUESTION
| 20 |
train.json
|
0_18
|
MALE
|
SAD
|
QUESTION
|
|
/external2/datasets/hf_data_output/audio_chunks/7c2f4c76-92e7-448b-8f45-00e7345aad99_chunk_0.wav
|
How can cascading roll backs in time stamp based upon protocols? Based upon protocols. AGE_30_45 GER_FEMALE EMOTION_SAD INTENT_QUESTION
| 20 |
train.json
|
30_45
|
FEMALE
|
SAD
|
QUESTION
|
|
/external2/datasets/hf_data_output/audio_chunks/623d0335-f84c-41a8-8d9f-4bd900f90175_chunk_0.wav
|
alter table command handle adding constraints. AGE_18_30 GER_FEMALE EMOTION_HAP INTENT_INFORM
| 20 |
train.json
|
18_30
|
FEMALE
|
HAP
|
INFORM
|
End of preview. Expand
in Data Studio
README.md exists but content is empty.
- Downloads last month
- 62