| [ |
| { |
| "id": "helpful_base_1", |
| "speech": "/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/omni_speech/infer/examples/question_wav/helpful_base_1.wav", |
| "conversations": [ |
| { |
| "from": "human", |
| "value": "<speech>\nPlease directly answer the questions in the user's speech." |
| } |
| ] |
| }, |
| { |
| "id": "helpful_base_2", |
| "speech": "/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/omni_speech/infer/examples/question_wav/helpful_base_2.wav", |
| "conversations": [ |
| { |
| "from": "human", |
| "value": "<speech>\nPlease directly answer the questions in the user's speech." |
| } |
| ] |
| }, |
| { |
| "id": "helpful_base_3", |
| "speech": "/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/omni_speech/infer/examples/question_wav/helpful_base_3.wav", |
| "conversations": [ |
| { |
| "from": "human", |
| "value": "<speech>\nPlease directly answer the questions in the user's speech." |
| } |
| ] |
| }, |
| { |
| "id": "helpful_base_4", |
| "speech": "/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/omni_speech/infer/examples/question_wav/helpful_base_4.wav", |
| "conversations": [ |
| { |
| "from": "human", |
| "value": "<speech>\nPlease directly answer the questions in the user's speech." |
| } |
| ] |
| }, |
| { |
| "id": "helpful_base_5", |
| "speech": "/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/omni_speech/infer/examples/question_wav/helpful_base_5.wav", |
| "conversations": [ |
| { |
| "from": "human", |
| "value": "<speech>\nPlease directly answer the questions in the user's speech." |
| } |
| ] |
| }, |
| { |
| "id": "vicuna_1", |
| "speech": "/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/omni_speech/infer/examples/question_wav/vicuna_1.wav", |
| "conversations": [ |
| { |
| "from": "human", |
| "value": "<speech>\nPlease directly answer the questions in the user's speech." |
| } |
| ] |
| }, |
| { |
| "id": "vicuna_2", |
| "speech": "/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/omni_speech/infer/examples/question_wav/vicuna_2.wav", |
| "conversations": [ |
| { |
| "from": "human", |
| "value": "<speech>\nPlease directly answer the questions in the user's speech." |
| } |
| ] |
| }, |
| { |
| "id": "vicuna_3", |
| "speech": "/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/omni_speech/infer/examples/question_wav/vicuna_3.wav", |
| "conversations": [ |
| { |
| "from": "human", |
| "value": "<speech>\nPlease directly answer the questions in the user's speech." |
| } |
| ] |
| }, |
| { |
| "id": "vicuna_4", |
| "speech": "/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/omni_speech/infer/examples/question_wav/vicuna_4.wav", |
| "conversations": [ |
| { |
| "from": "human", |
| "value": "<speech>\nPlease directly answer the questions in the user's speech." |
| } |
| ] |
| }, |
| { |
| "id": "vicuna_5", |
| "speech": "/data1/speech/anhnmt2/Speech2Speech/half-streaming-speech-nlp/omni_speech/infer/examples/question_wav/vicuna_5.wav", |
| "conversations": [ |
| { |
| "from": "human", |
| "value": "<speech>\nPlease directly answer the questions in the user's speech." |
| } |
| ] |
| } |
| ] |