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YAML Metadata Warning: The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other

Dataset Card for Nexdata/Chinese_News_Text_Data

Description

News content data, about 35G in total; each piece of news comment content contains ID, time, news title and news body; this dataset can be used for tasks such as LLM training, chatgpt

For more details, please refer to the link: https://www.nexdata.ai/datasets?source=Huggingface

Specifications

Data content

News content data

Data size

About 35G

Data fields

id,time,title,body

Collecting time

February 1,991 - July 2,017

Storage format

json

Language

Chinese

The amount of data

The amount of neutral data is not less than 1.6 hours; the amount of data with filler word is not less than 0.4 hours; and the remaining six types of emotional data is not less than 1.67 hours each

Licensing Information

Commercial License

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