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Channel Metadata

Hugging Face

Dataset containing video metadata from a few tech channels, i.e. James Briggs Yannic Kilcher sentdex Daniel Bourke AI Coffee Break with Letitia Alex Ziskind

descriptionjamescalam--channel-metadata.parquet view_list500 rows cloud_downloadjamescalam/channel-metadata
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Data preview

500 rows · 10 columns · showing first 12
# Video ID text Channel ID text Title text Time Created text Time Published text Duration text Description text Category text Like Count float Dislike Count float
1 Jk1YP4Y_U_0UCv83tO5cePwHMt1952IVVHwStoic Philosophy Text Generation with TensorFlow2020-04-19 11:33:45 UTC2020-04-19 13:52:43 UTC1859 secondsExplanation of key parts to a RNN text generator built in TensorFlow with Python. 🤖 70% Discount on the NLP With Transformers in Python co…People & Blogs100
2 gXqHd6-NKBoUCv83tO5cePwHMt1952IVVHwHow to Build TensorFlow Pipelines with tf.data.Dataset2020-11-02 08:23:38 UTC2020-11-02 08:57:48 UTC1853 secondsLink to updated version (without video freeze): https://youtu.be/f6XVfgJTbp4 An introduction to building better input pipelines for Machin…People & Blogs469
3 yYEPNla4tlQUCv83tO5cePwHMt1952IVVHwEvery New Feature in Python 3.10.0a22020-11-08 18:09:49 UTC2020-11-10 16:44:05 UTC883 secondsEvery new feature in the early release alpha 2 preview of Python 3.10 There is video lag 5:00 - 9:55 covering the Type Alias section (sorr…People & Blogs885
4 GYDFBfx8Ts8UCv83tO5cePwHMt1952IVVHwHow-to Build a Transformer for Language Classification in TensorFlow2020-11-19 09:57:27 UTC2020-11-19 12:20:35 UTC2299 seconds🎁 Free NLP for Semantic Search Course: https://www.pinecone.io/learn/nlp How to build a transformer model for sentiment analysis (language…People & Blogs38412
5 DgGFhQmfxHoUCv83tO5cePwHMt1952IVVHwHow-to use the Kaggle API in Python2020-11-22 20:19:30 UTC2020-11-22 20:29:27 UTC462 secondsSimple step-by-step tutorial covering the setup and use of the Kaggle API for downloading datasets using the Kaggle library in Python. 🤖 7…People & Blogs1216
6 YvVQgvAz9dYUCv83tO5cePwHMt1952IVVHwLanguage Generation with OpenAI's GPT-2 in Python2020-11-23 12:36:44 UTC2020-11-24 14:22:46 UTC498 secondsEasy natural language generation with Transformers and PyTorch. We apply OpenAI's GPT-2 model to generate text in just a few lines of Pytho…People & Blogs1331
7 egDIqQIjDCIUCv83tO5cePwHMt1952IVVHwText Summarization with Google AI's T5 in Python2020-11-24 21:26:27 UTC2020-11-27 06:00:07 UTC419 secondsEasy text summarization using Google AI's T5 model using HuggingFace transformers and PyTorch in Python. Automatic text summarization allo…People & Blogs1151
8 DFtP1THE8fEUCv83tO5cePwHMt1952IVVHwHow-to do Sentiment Analysis with Flair in Python2020-12-04 11:15:10 UTC2020-12-04 14:00:03 UTC848 secondsLearn how to perform powerful sentiment analysis with no fine-tuning or pre-training required using the Flair NLP library in Python. With …People & Blogs642
9 8o3jvkK2GGUUCv83tO5cePwHMt1952IVVHwPython Environment Setup for Machine Learning2020-12-23 13:50:07 UTC2020-12-23 13:53:02 UTC754 secondsEverything you need for a Python environment set up for Machine Learning and Data Science! 📕 Article: https://towardsdatascience.com/how-t…People & Blogs381
10 BYbJ_HH788UUCv83tO5cePwHMt1952IVVHwFunctional API - TensorFlow Essentials #22020-12-28 16:41:11 UTC2020-12-29 10:04:40 UTC341 secondsA look at the functional API method for building models in TensorFlow 2 for Python. 🤖 70% Discount on the NLP With Transformers in Python …Education200
11 _8Bydxud1XUUCv83tO5cePwHMt1952IVVHwTraining Parameters - TensorFlow Essentials #32020-12-28 19:30:23 UTC2020-12-29 23:37:57 UTC450 secondsLearn how to set up model training parameters and compile the model before training. 🤖 70% Discount on the NLP With Transformers in Python…Education170
12 f6XVfgJTbp4UCv83tO5cePwHMt1952IVVHwInput Data Pipelines - TensorFlow Essentials #42020-12-28 23:25:54 UTC2020-12-30 11:30:02 UTC751 secondsLearn how to set-up efficient and clean input data pipelines using tf.data.Dataset 🤖 70% Discount on the NLP With Transformers in Python c…Education540

Auto-generated charts

Channel Metadata: 500 rows by 10 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.

Rows500
Columns10
Numeric cols2
Categorical cols2

Charts

Total Like Count by Channel ID

Top Channel ID values ranked by summed Like Count.

Like Count vs Dislike Count

Like Count vs Dislike Count, coloured by Channel ID.

Distribution of Like Count

Histogram of Like Count values.

Like Count by Channel ID

Spread of Like Count across Channel ID groups.

Interesting queries to try

Columns

  • Video ID text
  • Channel ID categorical
  • Title text
  • Time Created datetime
  • Time Published datetime
  • Duration text
  • Description text
  • Category categorical
  • Like Count numeric
  • Dislike Count numeric

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