Row 64424

Row ID: 64424 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 64424 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

https://preview.redd.it/8l04pnfhq62d1.png?width=661&format=png&auto=webp&s=7fe616ca8cd7da974070c86b6b47ffab3ab545e5

---------------------------------------------------------------------------------------------------------------------------------------------------

https://preview.redd.it/hr7fr1uiq62d1.png?width=688&format=png&auto=webp&s=bd3de359bfe4c1ed82d092be92ae38c246bdfda2

---------------------------------------------------------------------------------------------------------------------------------------------------

https://preview.redd.it/v6k3v39kq62d1.png?width=450&format=png&auto=webp&s=c0abb0e397a498ef7ccfb35b1b1cb598198f66ad

For anyone looking to compare the Phi-3 benchmarks in one place.

Interesting comparisons for: ANLI, Hellaswag, MedQA, TriviaQA, Language understanding, Factual Knowledge and Robustness.

Note: Phi-3 mini model table have labels in different order.

Field	Value
text	https://preview.redd.it/8l04pnfhq62d1.png?width=661&format=png&auto=webp&s=7fe616ca8cd7da974070c86b6b47ffab3ab545e5 --------------------------------------------------------------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------------------------------------------------------------- https://preview.redd.it/hr7fr1uiq62d1.png?width=688&format=png&auto=webp&s=bd3de359bf…
label	r/machinelearning
dataType	post
communityName	r/MachineLearning
datetime	2024-05-23
username_encoded	Z0FBQUFBQm5Lak1iblMxVk5iZURwX3RMM015Uno0aHF6S1pVN0xnNHV5TFR4bTZPdVhLYTZMWmx2M25sRUJITzdQVkdqb0xVLVM3MndlM1hBTmgzNnJzTVRndDBOb1BEN2c9PQ==
url_encoded	Z0FBQUFBQm5Lak9yQTRLUi13WnBPa0JucktwOGhJWnllUTA2ei15Umt6WG5VMU1yYTBzZ3NEdjJCcE9TMmNjX1Y2MElLdmNuSDZNTU5wdEpaSzZPcHRMLTZPckpFVUZUV0tkUG52LXgyYWdsY2ZNc0NLY0FCdkpBZmtpSkRTZm5XaEFkU0FWY2RiVG9BWi1JaVJPQWNMOHlkRTY4STdpTWsweVBBR0xDd3RJVkJubHJoWjM1eTdjbGt1SWpfWFY5b0JKZHNLNkZCN1Z0

Raw Record

{
  "text": "https://preview.redd.it/8l04pnfhq62d1.png?width=661&format=png&auto=webp&s=7fe616ca8cd7da974070c86b6b47ffab3ab545e5\n\n---------------------------------------------------------------------------------------------------------------------------------------------------\n\n---------------------------------------------------------------------------------------------------------------------------------------------------\n\nhttps://preview.redd.it/hr7fr1uiq62d1.png?width=688&format=png&auto=webp&s=bd3de359bfe4c1ed82d092be92ae38c246bdfda2\n\n---------------------------------------------------------------------------------------------------------------------------------------------------\n\n---------------------------------------------------------------------------------------------------------------------------------------------------\n\nhttps://preview.redd.it/v6k3v39kq62d1.png?width=450&format=png&auto=webp&s=c0abb0e397a498ef7ccfb35b1b1cb598198f66ad\n\n\n\nFor anyone looking to compare the Phi-3 benchmarks in one place.\n\nInteresting comparisons for: ANLI, Hellaswag, MedQA, TriviaQA, Language understanding, Factual Knowledge and Robustness.\n\nNote: Phi-3 mini model table have labels in different order.",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1iblMxVk5iZURwX3RMM015Uno0aHF6S1pVN0xnNHV5TFR4bTZPdVhLYTZMWmx2M25sRUJITzdQVkdqb0xVLVM3MndlM1hBTmgzNnJzTVRndDBOb1BEN2c9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9yQTRLUi13WnBPa0JucktwOGhJWnllUTA2ei15Umt6WG5VMU1yYTBzZ3NEdjJCcE9TMmNjX1Y2MElLdmNuSDZNTU5wdEpaSzZPcHRMLTZPckpFVUZUV0tkUG52LXgyYWdsY2ZNc0NLY0FCdkpBZmtpSkRTZm5XaEFkU0FWY2RiVG9BWi1JaVJPQWNMOHlkRTY4STdpTWsweVBBR0xDd3RJVkJubHJoWjM1eTdjbGt1SWpfWFY5b0JKZHNLNkZCN1Z0"
}

Explore Dataset Explore Row

Entry Information

Entry ID: 64424
Repository: Axioma AXP
Dataset: arrmlet/reddit_dataset_36
Total Entries: 100,000