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The dataset generation failed
Error code: DatasetGenerationError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0x8c in position 415: invalid start byte
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/csv/csv.py", line 196, in _generate_tables
csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/streaming.py", line 73, in wrapper
return function(*args, download_config=download_config, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1250, in xpandas_read_csv
return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv
return _read(filepath_or_buffer, kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 620, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__
self._engine = self._make_engine(f, self.engine)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine
return mapping[engine](f, **self.options)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__
self._reader = parsers.TextReader(src, **kwds)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pandas/_libs/parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__
File "pandas/_libs/parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header
File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status
File "pandas/_libs/parsers.pyx", line 2053, in pandas._libs.parsers.raise_parser_error
File "<frozen codecs>", line 322, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x8c in position 415: invalid start byte
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1922, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Title string | Sub_Title string | Text string | Human_Summary string | Word_Count string | Category string | Author string | URL string |
|---|---|---|---|---|---|---|---|
Beware of the AI tag | Recognize the hype in disguise. | Beware of the AI tag
I would go ahead and say that I’m no expert in artificial intelligence but I do engage in conversations related with AI quite often. While having breakfast with my friend and founder of Pendulibrium, Ilija Lalkovski we ended up talking about the apparent omnipresence of the two most common letters ... | Out of nowhere, every service company has its own AI enhanced solution that is probably used for amping up the price of their service or to provoke enough curiosity just to get you knocking on the door.
There are many writings about the hype in AI but I’d like to give fresh perspective and understanding to people, such... | 1784 | Data Science | Petar Papikj | https://medium.com/s/story/https-medium-com-pendulibrium-beware-of-the-ai-tag-80226bf4556e |
Female Disruptors: Joana Gutierrez is Shaking Up How We Show Gratitude | “A piece of advice I have gotten and taken to heart is, “Be vigilant about your energy, thoughts, and actions.” I believe that the energy… | Female Disruptors: Joana Gutierrez is Shaking Up How We Show Gratitude
“A piece of advice I have gotten and taken to heart is, “Be vigilant about your energy, thoughts, and actions.” I believe that the energy you put out into the universe will come back to you.It’s important to make sure you are putting out the right ... | “A piece of advice I have gotten and taken to heart is, “Be vigilant about your energy, thoughts, and actions.” I believe that the energy you put out into the universe will come back to you.It’s important to make sure you are putting out the right type of energy.
The Meethappy ecosystem consists of an AI assisted accom... | 1988 | Startup | Yitzi Weiner | https://medium.com/s/story/female-disruptors-joana-gutierrez-is-shaking-up-how-we-show-gratitude-e053e430b223 |
Build your LSTM language model with Tensorflow | A language model is a machine learning model that we can use to estimate how grammatically accurate some pieces of words are. This kind of… | Build your LSTM language model with Tensorflow
A language model is a machine learning model that we can use to estimate how grammatically accurate some pieces of words are. This kind of model is pretty useful when we are dealing with Natural Language Processing(NLP) problems. And in speech recognition tasks, the model ... | Build your LSTM language model with Tensorflow
A language model is a machine learning model that we can use to estimate how grammatically accurate some pieces of words are.
This kind of model is pretty useful when we are dealing with Natural Language Processing(NLP) problems.
The memory length of a traditional language... | 2392 | Machine Learning | MilkKnight | https://medium.com/s/story/build-your-lstm-language-model-with-tensorflow-3416142c9919 |
Deepiracy: Video piracy detection system by using Longest Common Subsequence and Deep Learning | Por Claudia Saviaga, Carlos Toxtli | Deepiracy: Video piracy detection system by using Longest Common Subsequence and Deep Learning
Por Claudia Saviaga, Carlos Toxtli
Video clip localization is important for real life applications such as detecting copyright issues in videos, which has become crucial due to the increasing amount of videos uploaded to soc... | Our method is capable of detecting videos that have suffered from distortions (such as change in illumination, rotation) or even screened content, i.e. content that was recorded using a smart phone in a movie theater.
We combine the longest common subsequence as way to measure similarity between videos and neural netwo... | 2067 | Machine Learning | Carlos Toxtli | https://medium.com/s/story/piracy-detection-using-longest-common-subsequence-and-neural-networks-a6f689a541a6 |
Machine Learning: Trying to detect outliers or unusual behavior | This post is part of a series introducing Algorithm Explorer: a framework for exploring which data science methods relate to your business… | Machine Learning: Trying to detect outliers or unusual behavior
This post is part of a series introducing Algorithm Explorer: a framework for exploring which data science methods relate to your business needs.
The introductory post “Machine Learning: Where to begin…” can be found here and Algorithm Explorer here
If yo... | Machine Learning: Trying to detect outliers or unusual behavior
This post is part of a series introducing Algorithm Explorer: a framework for exploring which data science methods relate to your business needs.
If you are looking to use machine learning to detect outliers or unusual behavior, you should look to Anomaly ... | 1066 | Machine Learning | Stacey Ronaghan | https://medium.com/s/story/machine-learning-trying-to-detect-outliers-or-unusual-behavior-2d9f364334f9 |
On choosing the right PhD for you | I am one of those lucky individuals doing research in one of the most happening fields in the world. The field that is often seen as the… | On choosing the right PhD for you
I am one of those lucky individuals doing research in one of the most happening fields in the world. The field that is often seen as the “electricity of the modern era”. Yes, I work in Machine Learning (ML). I work on its application to understand images and videos — Computer Vision. ... | From my experience of interacting with ~5 years of graduates from MSc programme, I notice a common trait: Top students get flooded with PhD offers and simply do not know how to choose the right PhD catered for them.
Mediocre students just flow with the tide and go for the PhD that comes their way and regret having wast... | 1913 | Academia | Shrinivasan Sankar | https://hackernoon.com/on-choosing-the-right-phd-for-you-d7eaefec93cd |
In Conversation: Why the VR and AR industry can't ignore the computer in your pocket | The smartphone is today's compute platform. But - as we look towards a world of AR & VR, we see this device's limitations. | In Conversation: Why the VR and AR industry can’t ignore the computer in your pocket
AUGUST 22, 2018
LENS HQ — Sydney, Australia
Travis Rice, CCO and Founder of LENS Group
DF: Your background is in contemporary art, correct?
TR: My background is in working with artists at that fuzzy intersection between ideas and te... | TR: My background is in working with artists at that fuzzy intersection between ideas and technology.
A lot of the stuff that we talk about in museums and galleries overlaps with tech, business and cultural structures, and that’s where the focus of my work is.
DF: We talked about the convergence of devices, and you men... | 1269 | Virtual Reality | LENS Immersive | https://arvrjourney.com/in-conversation-why-the-vr-and-ar-industry-cant-ignore-the-computer-in-your-pocket-fd5ab73cc27f |
Smart speakers and A.I. will give your physician superpowers | As a hybrid physician/engineer, I spend a lot of time pondering how new platforms can empower doctors. | Smart speakers and A.I. will give your physician superpowers
As a hybrid physician/engineer, I spend a lot of time pondering how new platforms can empower doctors.
I am particularly excited about the potential of smart speakers coupled with advances in A.I. and natural language processing (also looking at you, blockcha... | Sensing potential, I decided to hunker down with my trusty corgi, drink a bunch of coffee, and start building the cool voice tools I want to use in my own clinical practice.
In this article I will synthesize my findings, show a bunch of fun demo videos, and explain why smart speakers represent a transformative technolo... | 1079 | Healthcare | Kevin Seals | https://medium.freecodecamp.org/smart-speakers-and-a-i-will-give-your-physician-superpowers-38c17bc2f133 |
Computer Vision, Image Processing and FotoNation, from Bucharest, Romania | Notes from the Bucharest.AI Meetup 6.0 | Computer Vision, Image Processing and FotoNation from Bucharest, Romania
Notes from the Bucharest.AI Meetup 6.0
🙌 Amazingly talented speakers, audience and venue location surely make for an amazing Bucharest AI meetup 6.0. Kudos to everyone that took part and exciting to see such great minds and people all in one plac... | 🙌 Amazingly talented speakers, audience and venue location surely make for an amazing Bucharest AI meetup 6.0.
Andrei Țăranu (left), Product Owner and Value Researcher; Liviu Dutu (middle), Research Engineer specialised in Machine Learning technologies from FotoNation; and Marius Leordeanu (right), Lecturer @Facultate... | 1224 | Machine Learning | Alexandra Petrus | https://medium.com/s/story/computer-vision-detection-machinelearning-bucharestai6-dcdd4fb8c67f |
Implementation of Gradient Descent in Python | Every machine learning engineer is always looking to improve their model’s performance. This is where optimization, one of the most… | Implementation of Gradient Descent in Python
Every machine learning engineer is always looking to improve their model’s performance. This is where optimization, one of the most important fields in machine learning, comes in. Optimization allows us to select the best parameters, associated with the machine learning algo... | Optimization allows us to select the best parameters, associated with the machine learning algorithm or method we are using, for our problem case.
Gradient Descent is an optimization algorithm that helps machine learning models converge at a minimum value through repeated steps.
Essentially, gradient descent is used to... | 1086 | Machine Learning | Deepak Battini | https://medium.com/s/story/implementation-of-gradient-descent-in-python-a43f160ec521 |
11 Lines Of Code Will Replace Millions Of Jobs. What Can We Do About It? | AI is eating the industrial economy as we know it. But how, why, and what can we do about it? |
11 Lines Of Code Will Replace Millions Of Jobs. What Can We Do About It?
AI is eating the industrial economy as we know it. But how, why, and what can we do about it?
(Maddie Anderson/Rantt News)
Today, if you work in computer science, it’s hard to go a week without a new doomsday theory about machines either being t... | And we watched in horror as the Treasury secretary of the current administration said that AI able to take people’s jobs is 50 to 100 years away, much the same way we’d look at someone who was trying to explain to us that human spaceflight is at least a century down the line and the Moon landing was faked.
Don’t get me... | 3587 | Artificial Intelligence | Greg Fish | https://medium.com/s/story/11-lines-of-code-will-replace-millions-of-jobs-heres-what-we-can-do-about-it-a63746e0a7ec |
Team Profile: Meet Jungkap | Machine learning engineering, two cats, and winters in Michigan | Team Profile: Meet Jungkap
As a yet minuscule startup, each member holds a significant power over the overall atmosphere of the team. And in our ultimate quest to make big waves in the data world, we need to make sure that the people at the helm are at least kind of cool. We think we’ve done a pretty good job so far in... | We think we’ve done a pretty good job so far in assembling a society of unique but equally driven members.
So we bring you this seven-part series, one of each devoted to interviewing each of our members in detail, to give you an in-depth glimpse into the people responsible for bringing you the future of machine learnin... | 1318 | Machine Learning | Eunsoo Kim (@XBrain) | https://medium.com/s/story/team-profile-meet-jungkap-35d6d9a967bb |
Simplicity, Not Suffering | We have been running through simplicity in my community group and it has been one of the more life-giving topics that we have covered over… |
Simplicity, Not Suffering
We have been running through simplicity in my community group and it has been one of the more life-giving topics that we have covered over the last 3+ years. We’re focusing on Matthew 6: 25–34 and our key areas of focus include our Thoughts, Emotions, Will, Behavior, and Social Interactions.
... | We’re focusing on Matthew 6: 25–34 and our key areas of focus include our Thoughts, Emotions, Will, Behavior, and Social Interactions.
I guess we were on a clothing discussion kick this week in our Bible studies because in our small group we also brought up the fact that if wear “loud” clothes, people notice if you wea... | 1152 | Minimalism | Jake Klinvex | https://medium.com/s/story/simplicity-not-suffering-c5c1aa510694 |
‘Artificial Intelligence’ Because ‘REAL Stupidity’ | Written By Hands | ‘Artificial Intelligence’ Because ‘REAL Stupidity’
Written By Hands
So — I’m going to give you all my data. Because that way you can sell me a whole lot more stuff and, while you are at it and because you will then know me that well, you will charge me a premium because you will be able to figure out that I can afford... | Thing is I’m an analogue person and I don’t actually know anything about the technology.
A little surprising then that I’m cruelly addicted to the wave of AI (Artificial Intelligence)and ML (Machine Learning)stuff.
* There’s many folk who fear what it means and they have good reason because humans probably can’t be tru... | 1220 | Artificial Intelligence | John Caswell | https://medium.com/s/story/artificial-intelligence-because-real-stupidity-ddf80af6a71c |
End of preview.
Medium Article Dataset For Extractive Text Summarization Author Vaibhav Gulati, Deepika Kumar (Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi 110063, India)
Contact Contact using the following email: gulvaibhav20@gmail.com
Subject Engineering
Description The dataset contains 75 articles that belongs to a variety of different categories including technology, science, business, nature and entertainment etc. These articles were published on the Medium website in 2018 and were extracted using web scraping tools and techniques. The dataset contains the textual content of the articles along with information about the publication date, sub-title, author, word count, etc. In addition to this, the dataset contains human generated summaries of all the 75 articles, where the length of each summary is about one-fifth of the length of the original Medium article.
Dataset Parameters Values Number of Articles (Instances) 75 Categories 25 Average number of sentences per article 89.5 Maximum number of sentences per article 229 Minimum number of sentences per article 30 File Description Dataset.csv - This file contains the whole Medium article dataset having the attributes:
Attribute Information Title Title of the article Sub_Title Sub-title of the article Text The textual content of the article Word_Count Number of Words present in article Category Genre of the article Author Author of the article URL Medium link for the article Human Generated Summary Human generated extractive summary of the article Dataset Usage The dataset can be used for the evaluation of the Extractive Text Summarization process. The summary of the articles generated by the extractive text summarizer model can be compared with the Human Generated Summary provided in the dataset.
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