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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'features', 'version', 'data'}) and 2 missing columns ({'Text', 'Label'}).
This happened while the json dataset builder was generating data using
hf://datasets/Priyanka72/Example/dataset (2).json (at revision 7e96fa2585d76619bba1868157df4d0a2899a319)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
version: string
features: struct<Text: struct<dtype: string, id: null, _type: string>, Label: struct<dtype: string, id: null, _type: string>>
child 0, Text: struct<dtype: string, id: null, _type: string>
child 0, dtype: string
child 1, id: null
child 2, _type: string
child 1, Label: struct<dtype: string, id: null, _type: string>
child 0, dtype: string
child 1, id: null
child 2, _type: string
data: list<item: struct<Text: string, Label: string>>
child 0, item: struct<Text: string, Label: string>
child 0, Text: string
child 1, Label: string
to
{'Text': Value(dtype='string', id=None), 'Label': Value(dtype='string', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1438, 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 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1873, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 3 new columns ({'features', 'version', 'data'}) and 2 missing columns ({'Text', 'Label'}).
This happened while the json dataset builder was generating data using
hf://datasets/Priyanka72/Example/dataset (2).json (at revision 7e96fa2585d76619bba1868157df4d0a2899a319)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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string | Label
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In March 2025, researchers at MIT announced a breakthrough in room-temperature superconductivity using a novel compound of yttrium, barium, copper, and oxygen doped with fluorine. This discovery, if validated, promises a revolution in energy transmission and storage, dramatically reducing energy loss during transfer. The specific stoichiometry and synthesis process are detailed in their publication in *Nature Physics*.
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Physics
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Scientists at the University of California, San Francisco, published findings in *Cell* detailing a new CRISPR-based gene editing technique with significantly reduced off-target effects. This advancement involves a modified Cas enzyme and guide RNA design that increases precision in targeting specific DNA sequences, potentially opening doors for safer and more effective gene therapies for inherited diseases. Early trials are planned for late 2025.
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Biology
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A team at the Max Planck Institute for Polymer Research synthesized a novel biodegradable plastic from lignin, a byproduct of the paper industry. This new polymer exhibits comparable strength and durability to conventional plastics but decomposes naturally within months under composting conditions, offering a sustainable alternative to petroleum-based plastics and addressing the growing global plastic waste crisis. The process is detailed in *Advanced Materials*.
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Chemistry
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The James Webb Space Telescope captured unprecedented images of a protoplanetary disk around a young star in the Orion Nebula in March 2025. These images revealed the presence of complex organic molecules, further supporting the theory that the building blocks of life are common throughout the universe. The findings were presented at the American Astronomical Society meeting.
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Astronomy
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Researchers at Stanford University developed a new type of solar cell using perovskite materials, achieving a record-breaking energy conversion efficiency of 35%. This advancement could significantly reduce the cost of solar energy and make it a more viable alternative to fossil fuels. The innovation lies in the unique layered structure of the perovskite and the use of a novel electron transport material. Their work appears in *Science*.
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Materials Science
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A study published in *The Lancet* revealed a novel antibody treatment effective against a newly emerged strain of influenza that caused a global outbreak in early 2025. The antibody, developed by a collaboration between several pharmaceutical companies and research institutions, targets a conserved region of the viral hemagglutinin protein, providing broad protection against various influenza subtypes.
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Medicine
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Scientists at the University of Cambridge announced the creation of the first self-replicating synthetic cell. This engineered cell can autonomously divide and reproduce, raising profound ethical and philosophical questions about the definition of life and the potential for synthetic biology. The details of this creation were published in *Nature*.
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Synthetic Biology
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Researchers at Google AI unveiled a new quantum algorithm that demonstrates a significant speedup over classical algorithms for solving a specific type of optimization problem. This result provides further evidence of the potential of quantum computing to revolutionize fields such as drug discovery and materials science. The theoretical underpinnings are explained in *Physical Review Letters*.
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Computer Science/Quantum Computing
|
A team of paleontologists discovered a remarkably well-preserved fossil of a new species of dinosaur in Patagonia, Argentina, dating back to the late Cretaceous period. This dinosaur, named *Titanosaurus australis*, was one of the largest land animals ever to exist and provides new insights into the evolution of sauropods. The discovery was published in *PLOS ONE*.
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Paleontology
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A team from Oxford University demonstrated a new method for carbon capture using metal-organic frameworks (MOFs). This method is significantly more energy-efficient and cost-effective than existing technologies, potentially offering a practical solution to mitigate climate change by removing carbon dioxide from the atmosphere. The results are available in *Nature Communications*.
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Environmental Science
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Teens are heavily engaged with short-form video platforms like TikTok, participating in dance challenges and meme creation, often using trending audio clips. They are also active on Instagram for sharing curated content and Snapchat for ephemeral messaging.
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Teens
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Adults, particularly millennials and Gen X, use Facebook and Instagram primarily for connecting with friends and family, sharing life updates, and consuming news and informative content. LinkedIn remains relevant for professional networking.
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Adults
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Seniors are increasingly using Facebook to stay connected with family and friends, often sharing photos and engaging in groups related to hobbies and interests. They may also use email for communication and news consumption.
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Seniors
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Teens are showing increased interest in live streaming platforms like Twitch and YouTube, following their favorite gamers and creators. They are also early adopters of new social media apps and trends.
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Teens
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Adults are engaging with social media for information and resources, including health and wellness tips, cooking recipes, and home improvement ideas. They are more likely to share news articles and participate in political discussions.
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Adults
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Seniors are using social media to access information related to their health and well-being, often joining online communities focused on specific medical conditions or lifestyle interests. They also enjoy sharing nostalgic content and reminiscing about the past.
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Seniors
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The 'BeReal' app, prioritizing authentic, unfiltered content, is gaining traction among teens who are seeking alternatives to highly curated social media profiles. The app encourages users to post a photo once a day at a random time.
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Teens
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Adults are using social media platforms like Pinterest and Instagram for visual inspiration, often creating mood boards for home decor, fashion, or travel. They are also more likely to use social media for shopping and discovering new products.
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Adults
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Seniors appreciate the simplicity and ease of use of platforms like Facebook, where they can easily share photos and messages with family members. They also enjoy participating in online games and quizzes to keep their minds active.
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Seniors
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Teens are actively involved in online activism and social justice movements, using social media to raise awareness, organize protests, and advocate for change. They are often critical of misinformation and seek to promote accurate information.
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Teens
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Adults utilize platforms like Twitter and LinkedIn for professional development, networking, and industry news. They are also increasingly aware of privacy concerns and are more selective about the information they share online.
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Adults
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