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[ { "content": "What is the total amount of contributions made to AMD's pension and retiree medical plans in this year, and how does it compare to the total contributions made in the previous two years?", "role": "user", "token_ids": [ 3923, 374, 279, 2860, 3392, 315, ...
You are in a conversation about the following user information. <info> (404) $ (54) $ 119 $ (93) $ (37) $ (47) $ (25) $ (26) $ (28) Total $ 114 $ 380 $ 500 $ 11 $ 49 $ 26 $ 8 $ (1) $ (5) (a) In 2020, U.S. includes a settlement charge of $205 million ($158 million after-tax or $0.11 per share) related to lump ...
{ "initial_system_prompt": "\nYou are in a conversation about the following user information.\n\n<info>\n(404)\n$\n(54)\n$\n119 \n$\n(93)\n$\n(37)\n$\n(47)\n$\n(25)\n$\n(26)\n$\n(28)\nTotal\n$\n114 \n$\n380 \n$\n500 \n$\n11 \n$\n49 \n$\n26 \n$\n8 \n$\n(1)\n$\n(5)\n(a)\nIn 2020, U.S. includes a settlement charge of $2...
todo
[ { "content": "What was the total amount of cash tendered in the cash tender offers in this year, and what was the recorded pre-tax gain per share as a result of this transaction?", "role": "user", "token_ids": [ 3923, 574, 279, 2860, 3392, 315, 8515, 28682...
You are in a conversation about the following user information. <info> (404) $ (54) $ 119 $ (93) $ (37) $ (47) $ (25) $ (26) $ (28) Total $ 114 $ 380 $ 500 $ 11 $ 49 $ 26 $ 8 $ (1) $ (5) (a) In 2020, U.S. includes a settlement charge of $205 million ($158 million after-tax or $0.11 per share) related to lump ...
{ "initial_system_prompt": "\nYou are in a conversation about the following user information.\n\n<info>\n(404)\n$\n(54)\n$\n119 \n$\n(93)\n$\n(37)\n$\n(47)\n$\n(25)\n$\n(26)\n$\n(28)\nTotal\n$\n114 \n$\n380 \n$\n500 \n$\n11 \n$\n49 \n$\n26 \n$\n8 \n$\n(1)\n$\n(5)\n(a)\nIn 2020, U.S. includes a settlement charge of $2...
todo
[{"content":"What is the title of the table that summarizes the weighted-average assumptions used to(...TRUNCATED)
"\nYou are in a conversation about the following user information.\n\n<info>\n(404)\n$\n(54)\n$\n119(...TRUNCATED)
{"initial_system_prompt":"\nYou are in a conversation about the following user information.\n\n<info(...TRUNCATED)
todo
[{"content":"What is the name of the company incorporated in Delaware, as specified in the document'(...TRUNCATED)
"\nYou are in a conversation about the following user information.\n\n<info>\n(404)\n$\n(54)\n$\n119(...TRUNCATED)
{"initial_system_prompt":"\nYou are in a conversation about the following user information.\n\n<info(...TRUNCATED)
todo
[{"content":"What is the name of the document that sets forth the terms and conditions of a particul(...TRUNCATED)
"\nYou are in a conversation about the following user information.\n\n<info>\n single lump sum, prov(...TRUNCATED)
{"initial_system_prompt":"\nYou are in a conversation about the following user information.\n\n<info(...TRUNCATED)
todo
[{"content":"What is the name of the entity that is the registrant of the document?","role":"user","(...TRUNCATED)
"\nYou are in a conversation about the following user information.\n\n<info>\n single lump sum, prov(...TRUNCATED)
{"initial_system_prompt":"\nYou are in a conversation about the following user information.\n\n<info(...TRUNCATED)
todo
[{"content":"What is the effective date of the provisions relating to International Transfer Partici(...TRUNCATED)
"\nYou are in a conversation about the following user information.\n\n<info>\n single lump sum, prov(...TRUNCATED)
{"initial_system_prompt":"\nYou are in a conversation about the following user information.\n\n<info(...TRUNCATED)
todo
[{"content":"What is the result of subtracting the amount of the participant's actual benefit under (...TRUNCATED)
"\nYou are in a conversation about the following user information.\n\n<info>\n single lump sum, prov(...TRUNCATED)
{"initial_system_prompt":"\nYou are in a conversation about the following user information.\n\n<info(...TRUNCATED)
todo
[{"content":"What is the total notional value of PepsiCo's commodity derivatives as of December 25 t(...TRUNCATED)
"\nYou are in a conversation about the following user information.\n\n<info>\n President and Control(...TRUNCATED)
{"initial_system_prompt":"\nYou are in a conversation about the following user information.\n\n<info(...TRUNCATED)
todo
[{"content":"What is the title of PepsiCo's approach to creating long-term sustainable growth?","rol(...TRUNCATED)
"\nYou are in a conversation about the following user information.\n\n<info>\n President and Control(...TRUNCATED)
{"initial_system_prompt":"\nYou are in a conversation about the following user information.\n\n<info(...TRUNCATED)
todo
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Dataset: Phudish/pepsi-2021-10k-8192-without-year-thinking-1-with-trained-cartridge

Usage

from datasets import load_dataset
ds = load_dataset("Phudish/pepsi-2021-10k-8192-without-year-thinking-1-with-trained-cartridge")
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