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llm-test-dataset

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train · 6 rows

id int64 1 6	content stringclasses 6 values	content_type stringclasses 1 value	inputs_embeds sequencelengths 1 1	input_ids sequencelengths 16 61	attention_mask sequencelengths 16 61	query_ids sequencelengths 16 61	query_attention_mask sequencelengths 16 61
1	Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.	text	[ [ -0.04061008244752884, -0.0467677041888237, -0.08887018263339996, -0.052172765135765076, -0.023369694128632545, -0.07794211804866791, -0.10442141443490982, 0.014652720652520657, 0.019506018608808517, -0.016977747902274132, -0.05729992315173149, -0.002501370385289192,...	[ 1, 13380, 20814, 338, 263, 2473, 29899, 11675, 6012, 363, 14012, 848, 21639, 29892, 848, 10466, 29892, 322, 4933, 6509, 373, 2323, 29899, 3177, 14884, 470, 24554, 29889 ]	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]	[ 1, 13380, 20814, 338, 263, 2473, 29899, 11675, 6012, 363, 14012, 848, 21639, 29892, 848, 10466, 29892, 322, 4933, 6509, 373, 2323, 29899, 3177, 14884, 470, 24554, 29889 ]	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
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	[ [ -0.035899288952350616, -0.13268519937992096, -0.06523619592189789, 0.014342967420816422, 0.05486642196774483, -0.0357164703309536, -0.0613977275788784, 0.020459948107600212, 0.01816062442958355, -0.07110396027565002, 0.0026850528083741665, 0.04427304118871689, 0...	[ 1, 13380, 383, 2324, 338, 263, 6890, 322, 13235, 9068, 6012, 363, 2106, 1319, 2912, 800, 975, 443, 29306, 322, 12635, 848, 20873, 29889, 383, 2324, 756, 1063, 8688, 304, 1065, 297, 599, 3619, 9867, 23136, 29892, 2189, 2912, 800, 472, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]	[ 1, 13380, 383, 2324, 338, 263, 6890, 322, 13235, 9068, 6012, 363, 2106, 1319, 2912, 800, 975, 443, 29306, 322, 12635, 848, 20873, 29889, 383, 2324, 756, 1063, 8688, 304, 1065, 297, 599, 3619, 9867, 23136, 29892, 2189, 2912, 800, 472, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
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	[ [ -0.030081847682595253, -0.10661328583955765, 0.006101581268012524, 0.007930858060717583, 0.02827036939561367, 0.007969679310917854, -0.05479402467608452, -0.008755866438150406, -0.026672840118408203, 0.01665687933564186, 0.01323489099740982, -0.029642164707183838, ...	[ 1, 11389, 1429, 338, 385, 1722, 2752, 405, 13208, 6890, 304, 16254, 411, 596, 848, 773, 4103, 24784, 4733, 322, 365, 26369, 29879, 313, 29954, 7982, 29899, 29946, 29892, 678, 271, 29954, 7982, 322, 394, 9345, 467, 11389, 1429, 16688, 58...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]	[ 1, 11389, 1429, 338, 385, 1722, 2752, 405, 13208, 6890, 304, 16254, 411, 596, 848, 773, 4103, 24784, 4733, 322, 365, 26369, 29879, 313, 29954, 7982, 29899, 29946, 29892, 678, 271, 29954, 7982, 322, 394, 9345, 467, 11389, 1429, 16688, 58...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
4	There are these AI tools such as: scikit learning, Tensorflow, Pytorch, Cntk, Caffe.	text	[ [ -0.056032877415418625, -0.14372016489505768, 0.032240211963653564, -0.024913808330893517, -0.03353388234972954, 0.023618420585989952, -0.03756549581885338, 0.006114399991929531, 0.059926338493824005, 0.03670552000403404, -0.07178838551044464, -0.02886676788330078, ...	[ 1, 1670, 526, 1438, 319, 29902, 8492, 1316, 408, 29901, 4560, 7354, 6509, 29892, 323, 6073, 1731, 29892, 349, 3637, 25350, 29892, 315, 593, 29895, 29892, 315, 3470, 29872, 29889 ]	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]	[ 1, 1670, 526, 1438, 319, 29902, 8492, 1316, 408, 29901, 4560, 7354, 6509, 29892, 323, 6073, 1731, 29892, 349, 3637, 25350, 29892, 315, 593, 29895, 29892, 315, 3470, 29872, 29889 ]	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
5	There are these AI frameworks such as: langchain, haystack.	text	[ [ -0.054102152585983276, -0.1404198259115219, -0.009058991447091103, -0.10518792271614075, -0.014120619744062424, 0.002182773081585765, -0.014651325531303883, 0.0009919587755575776, 0.03522476181387901, 0.04034397378563881, -0.07851561158895493, 0.01020281482487917, ...	[ 1, 1670, 526, 1438, 319, 29902, 29143, 1316, 408, 29901, 6361, 14153, 29892, 14842, 1429, 29889 ]	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]	[ 1, 1670, 526, 1438, 319, 29902, 29143, 1316, 408, 29901, 6361, 14153, 29892, 14842, 1429, 29889 ]	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]
6	There are these AI tools such as: spark ml, OpenNN.	text	[ [ -0.09451722353696823, -0.1603011190891266, -0.034877266734838486, -0.019913755357265472, -0.02518356591463089, 0.02774890325963497, -0.040044382214546204, -0.03924020007252693, 0.06698974221944809, -0.011285464279353619, -0.04411641135811806, -0.006739301141351461, ...	[ 1, 1670, 526, 1438, 319, 29902, 8492, 1316, 408, 29901, 16267, 286, 29880, 29892, 4673, 10262, 29889 ]	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]	[ 1, 1670, 526, 1438, 319, 29902, 8492, 1316, 408, 29901, 16267, 286, 29880, 29892, 4673, 10262, 29889 ]	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ]

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