tonypeng/whisper-finetuning
Automatic Speech Recognition • 0.2B • Updated
• 1
id stringlengths 1 3 | path stringlengths 28 30 | audio audioduration (s) 1.62 8.16 | transcription stringlengths 16 68 |
|---|---|---|---|
1 | data/train/audio_train_1.wav | The API receives millions of requests daily. | |
2 | data/train/audio_train_2.wav | The server's gone down again. | |
3 | data/train/audio_train_3.wav | The model was trained on a billion parameters. | |
4 | data/train/audio_train_4.wav | The logs seem fine to me. | |
5 | data/train/audio_train_5.wav | Let's create a Docker container for this. | |
6 | data/train/audio_train_6.wav | The bug has some complex edge cases. | |
7 | data/train/audio_train_7.wav | The system handles a billion requests per day. | |
8 | data/train/audio_train_8.wav | The cache never expires. | |
9 | data/train/audio_train_9.wav | The project dependencies need updating. | |
10 | data/train/audio_train_10.wav | The algorithm is very efficient. | |
11 | data/train/audio_train_11.wav | The server would sing an error message when overloaded. | |
12 | data/train/audio_train_12.wav | The visualization module crashed again. | |
13 | data/train/audio_train_13.wav | Keep track of these dependencies. | |
14 | data/train/audio_train_14.wav | The software crashed again. | |
15 | data/train/audio_train_15.wav | The framework handles routing like magic. | |
16 | data/train/audio_train_16.wav | The server had connection issues. | |
17 | data/train/audio_train_17.wav | Filter them out. | |
18 | data/train/audio_train_18.wav | The memory leak is finally gone. | |
19 | data/train/audio_train_19.wav | The notification sound has a warning tone. | |
20 | data/train/audio_train_20.wav | First deploy, then test. | |
21 | data/train/audio_train_21.wav | The old API endpoint is gone now. | |
22 | data/train/audio_train_22.wav | My friend crashed the production server accidentally. | |
23 | data/train/audio_train_23.wav | These errors seem to occur randomly. | |
24 | data/train/audio_train_24.wav | Keep pushing to the repo. | |
25 | data/train/audio_train_25.wav | Process them in batches. | |
26 | data/train/audio_train_26.wav | Train it, then validate. | |
27 | data/train/audio_train_27.wav | Check the buffer sizes in the config. | |
28 | data/train/audio_train_28.wav | That's a friendly request from the new developer. | |
29 | data/train/audio_train_29.wav | Kill all processes. | |
30 | data/train/audio_train_30.wav | Map them to objects. | |
31 | data/train/audio_train_31.wav | These batch sizes are too large for our GPU. | |
32 | data/train/audio_train_32.wav | Run the script, then check logs. | |
33 | data/train/audio_train_33.wav | Delete all temp files. | |
34 | data/train/audio_train_34.wav | Keep these variables in scope. | |
35 | data/train/audio_train_35.wav | What about the edge cases? | |
36 | data/train/audio_train_36.wav | Can you be a friend and review my pull request? | |
37 | data/train/audio_train_37.wav | Load the data, then transform it. | |
38 | data/train/audio_train_38.wav | Tell me about the new feature. | |
39 | data/train/audio_train_39.wav | We need various sizes for testing. | |
40 | data/train/audio_train_40.wav | Select all records. | |
41 | data/train/audio_train_41.wav | These numbers seem off somehow. | |
42 | data/train/audio_train_42.wav | Check all connections. | |
43 | data/train/audio_train_43.wav | The array sizes don't match up. | |
44 | data/train/audio_train_44.wav | Cache them locally first. | |
45 | data/train/audio_train_45.wav | Did all tests pass? | |
46 | data/train/audio_train_46.wav | Keep this branch updated. | |
47 | data/train/audio_train_47.wav | Hey friend, could you check these logs? | |
48 | data/train/audio_train_48.wav | We need to keep the server running. | |
49 | data/train/audio_train_49.wav | My friend helped me debug this nasty code yesterday. | |
50 | data/train/audio_train_50.wav | How about we use Docker? | |
51 | data/train/audio_train_51.wav | Compile first, then execute. | |
52 | data/train/audio_train_52.wav | The latency spikes seem concerning. | |
53 | data/train/audio_train_53.wav | It's about time we refactored this. | |
54 | data/train/audio_train_54.wav | I'm not friendly with this new framework yet. | |
55 | data/train/audio_train_55.wav | The reason for caching is performance. | |
56 | data/train/audio_train_56.wav | When did you push the code? | |
57 | data/train/audio_train_57.wav | The file won't read properly. | |
58 | data/train/audio_train_58.wav | The bug is gone after the latest patch. | |
59 | data/train/audio_train_59.wav | Let's set the right tone in our documentation. | |
60 | data/train/audio_train_60.wav | Don't use magic numbers in the code. | |
61 | data/train/audio_train_61.wav | The chatbot's tone needs adjustment. | |
62 | data/train/audio_train_62.wav | When should we deploy the changes? | |
63 | data/train/audio_train_63.wav | Read the config file first. | |
64 | data/train/audio_train_64.wav | That's not magic, it's just good architecture. | |
65 | data/train/audio_train_65.wav | Find the reason for the timeout. | |
66 | data/train/audio_train_66.wav | The scanner can't read this QR code. | |
67 | data/train/audio_train_67.wav | Click on the submit button. | |
68 | data/train/audio_train_68.wav | The log shows when users log in. | |
69 | data/train/audio_train_69.wav | Let me know when the build is done. | |
70 | data/train/audio_train_70.wav | Can't read from the database. | |
71 | data/train/audio_train_71.wav | All my cached data is gone. | |
72 | data/train/audio_train_72.wav | Give me a reason to use this library. | |
73 | data/train/audio_train_73.wav | That feature is gone in version 2.0. | |
74 | data/train/audio_train_74.wav | There's no magic in programming. | |
75 | data/train/audio_train_75.wav | Turn the server on before running the tests. | |
76 | data/train/audio_train_76.wav | What's the reason for this null pointer? | |
77 | data/train/audio_train_77.wav | The ML model training is still on. | |
78 | data/train/audio_train_78.wav | Remember when we used PHP? | |
79 | data/train/audio_train_79.wav | When did the server crash? | |
80 | data/train/audio_train_80.wav | Keep a casual tone in the user guides. | |
81 | data/train/audio_train_81.wav | Did you read the documentation? | |
82 | data/train/audio_train_82.wav | Let's read the error logs. | |
83 | data/train/audio_train_83.wav | The bug fix worked like magic. | |
84 | data/train/audio_train_84.wav | That's the reason we need tests. | |
85 | data/train/audio_train_85.wav | There's a reason we use TypeScript. | |
86 | data/train/audio_train_86.wav | Avoid magic strings in your constants. | |
87 | data/train/audio_train_87.wav | The API is very unstable. | |
88 | data/train/audio_train_88.wav | Try running it in debug mode. | |
89 | data/train/audio_train_89.wav | Past iterations were slower. | |
90 | data/train/audio_train_90.wav | The server never responded. | |
91 | data/train/audio_train_91.wav | We tried multiple algorithms. | |
92 | data/train/audio_train_92.wav | Don't ruin the API documentation. | |
93 | data/train/audio_train_93.wav | The ML model is running on GPU. | |
94 | data/train/audio_train_94.wav | Memory usage is very high. | |
95 | data/train/audio_train_95.wav | Make room for the new database instance. | |
96 | data/train/audio_train_96.wav | Bad commits can ruin the main branch. | |
97 | data/train/audio_train_97.wav | Past commits show the issue. | |
98 | data/train/audio_train_98.wav | Never ignore security warnings. | |
99 | data/train/audio_train_99.wav | The team tried the new framework. | |
100 | data/train/audio_train_100.wav | That's a very complex query. |
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Size of downloaded dataset files:
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Number of rows:
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Models trained or fine-tuned on tonypeng/whisper-finetuning