id int64 1 6	content stringclasses 6 values	content_type stringclasses 1 value
1	Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.	text
2	Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.	text
3	Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.	text
4	There are these AI tools such as: scikit learning, Tensorflow, Pytorch, Cntk, Caffe.	text
5	There are these AI frameworks such as: langchain, haystack.	text
6	There are these AI tools such as: spark ml, OpenNN.	text

int64

content

stringclasses

6 values

content_type

stringclasses

1 value

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.

text

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.

text

Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.

text

There are these AI tools such as: scikit learning, Tensorflow, Pytorch, Cntk, Caffe.

text

There are these AI frameworks such as: langchain, haystack.

text

There are these AI tools such as: spark ml, OpenNN.

text

Dataset Card for Dataset Name

Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

[More Information Needed]