Row 35474
Content Data
This page contains data entry 35474 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Hi everyone! I am looking for some inspiration on how to best approach the following task: I have >30 academic papers which I need to "read" and extract some repetitive info (think: key findings, data sources, analysis methodology, etc.). This then needs to be put into an Excel table. I have so far done this with a prompt that lists the required info and asks for the corresponding input in bullet-point style. The output I then copied manually into the Excel file. So I see two areas for optimization: First, the manual copying is annoying and very time-consuming. Second, ChatGPT only manages to read through two to four pdfs at a time.
So what to do? I heard about maybe new Excel formulas that access the ChatGPT API. Would that be an option to create a "self-filling" Excel table? How much would that cost approximately?
Thank you guys very much for your thoughts!
| Field | Value |
|---|---|
| text | Hi everyone! I am looking for some inspiration on how to best approach the following task: I have >30 academic papers which I need to "read" and extract some repetitive info (think: key findings, data sources, analysis methodology, etc.). This then needs to be put into an Excel table. I have so far done this with a prompt that lists the required info and asks for the corresponding input in bullet-point style. The output I then copied manually into the Excel file. So I see two areas for optimizat… |
| label | r/chatgpt |
| dataType | post |
| communityName | r/ChatGPT |
| datetime | 2024-05-21 |
| username_encoded | Z0FBQUFBQm5Lak1KdzZhQWswSnFXeVJNaElUSFZtQldQenpscFI5TGh4cUNHN240Wmk1ekk0MV9sLVd4RHVLaXkxc3NLeDRWUTJwbHhRUEI1end1VkZlcXJiYlFISU96RHc9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9ZZU5qeHp0WGs1RXphSnExOVpXcnZyR0xxeVpxZ3pzRjMxeEhwdmJsM3Y0ODNSVi1xcF8tQkIwNGtaVTZVYUkwcjcxeVl1YWpOUXBmQWtCUHFvcHg1SVNJSWwteFljRFF5TW5HdWlDR1lYamJ0V3liS1V5V2VGTkgxMEQwUE5CUkpDNUd4NzM2UHZ3U0dTbXdJLUo5OTRsNDhNNjQxY2gtSG5LS3U2T2llcmVidks3Z1IyVUpDYnVlOWN6QmdIUW1i |
Raw Record
{
"text": "Hi everyone! I am looking for some inspiration on how to best approach the following task: I have >30 academic papers which I need to \"read\" and extract some repetitive info (think: key findings, data sources, analysis methodology, etc.). This then needs to be put into an Excel table. I have so far done this with a prompt that lists the required info and asks for the corresponding input in bullet-point style. The output I then copied manually into the Excel file. So I see two areas for optimization: First, the manual copying is annoying and very time-consuming. Second, ChatGPT only manages to read through two to four pdfs at a time.\n\nSo what to do? I heard about maybe new Excel formulas that access the ChatGPT API. Would that be an option to create a \"self-filling\" Excel table? How much would that cost approximately?\n\nThank you guys very much for your thoughts!",
"label": "r/chatgpt",
"dataType": "post",
"communityName": "r/ChatGPT",
"datetime": "2024-05-21",
"username_encoded": "Z0FBQUFBQm5Lak1KdzZhQWswSnFXeVJNaElUSFZtQldQenpscFI5TGh4cUNHN240Wmk1ekk0MV9sLVd4RHVLaXkxc3NLeDRWUTJwbHhRUEI1end1VkZlcXJiYlFISU96RHc9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9ZZU5qeHp0WGs1RXphSnExOVpXcnZyR0xxeVpxZ3pzRjMxeEhwdmJsM3Y0ODNSVi1xcF8tQkIwNGtaVTZVYUkwcjcxeVl1YWpOUXBmQWtCUHFvcHg1SVNJSWwteFljRFF5TW5HdWlDR1lYamJ0V3liS1V5V2VGTkgxMEQwUE5CUkpDNUd4NzM2UHZ3U0dTbXdJLUo5OTRsNDhNNjQxY2gtSG5LS3U2T2llcmVidks3Z1IyVUpDYnVlOWN6QmdIUW1i"
}
Entry Information
- Entry ID: 35474
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000