WikiSQL
code_contests
| WikiSQL | code_contests | |
|---|---|---|
| 2 | 7 | |
| 1,566 | 2,020 | |
| 1.7% | 0.7% | |
| 0.0 | 0.0 | |
| 10 months ago | 8 months ago | |
| HTML | C++ | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
WikiSQL
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List of code generation datasets (open source)
WikiSQL
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Anyone else witnessing a panic inside NLP orgs of big tech companies?
Natural language processing/understanding/generation is solved (at least in English).
LLMs produce perfectly fluent output and can understand natural language input as well as any human.
However knowledge representation is not solved. We still don't know how to interface a perfect LLM to other systems in the same way a human does things like looking up facts we aren't confident of or using a calculator to do math we cant' do in our head.
These are very significant problems and super important. But they are more adjacent to NLP in the same way tasks like something like Text-to-SQL [1] isn't a pure NLP task.
[1] for example https://github.com/salesforce/WikiSQL
code_contests
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List of code generation datasets (open source)
CodeContests
- Is Deepmind's Alphacode AI out or not? I tried using the GitHub file but I didn't know how to follow the steps and I didn't find any video about installing or working with it by non-developers
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[P] AlphaCode Explained
Dataset: https://github.com/deepmind/code_contests
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DeepMind's AlphaCode Won't Steal Your Job Either
Results are available online.
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DeepMind introduced today AlphaCode: a system that can compete at average human level in competitive coding competitions
''To help others build on our results, we’re releasing our dataset of competitive programming problems and solutions on GitHub, including extensive tests to ensure the programs that pass these tests are correct — a critical feature current datasets lack. We hope this benchmark will lead to further innovations in problem solving and code generation. '' https://github.com/deepmind/code_contests
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[R] Microsoft & NVIDIA Leverage DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, the World’s Largest Monolithic Language Model
DeepMind has released its CodeContests dataset of competitive programming problems and solutions on GitHub. The paper Competition-Level Code Generation with AlphaCode is on Google Cloud Storage.
- GitHub - deepmind/code_contests
What are some alternatives?
ASH-IR-Dataset - An impulse response dataset for binaural synthesis of spatial audio systems on headphones
TheVault - [EMNLP 2023] The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
hanakotoba - Exploring 花言葉 in Japanese and other literary corpora
news - JSON News Service