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111
datasets available to search
ShareScore release 0.9.0
Dataset results
111 results for “LLMs”
【outputs_encode_to_representations】only two 70B LLMs, only Ir task, augmented responses representations w/o their language materials, w/ original prompt and response representations
<ul> <li>only two 70B LLMs</li> <li>only Ir task augmented responses representations w/o their language materials <ul> <li>12 (valid prompts) ⨉ 2 (LLMs) ⨉ 2 (scores) = 48 files </li> </ul> </li> <li>original prompt and response representations <ul> <li>[1 (prompt) + 1 (response)] ⨉ 2 (LLMs) = 4 files</li> </ul> </li> <li>in total, 48 + 4 = 52 files</li> </ul>
【outputs_encode_to_representations】only two 70B LLMs, only SS 012 task, augmented responses representations w/o their language materials, w/ original prompt and response representations
<ul> <li>only two 70B LLMs, </li> <li>only SS 012 task,</li> <li>only augmented responses representations w/o their language materials, <ul> <li>7 (valid prompts) ⨉ 2 (LLMs) ⨉ 1 (Scores) = 14 files </li> </ul> </li> <li>original prompt and response representations <ul> <li>1 (response) ⨉ 2 (LLMs) = 2 files </li> </ul> </li> <li>in total, 14 + 2 = 16 files</li> </ul>
【outputs_encode_to_representations】only two 70B LLMs, only SS task, augmented responses representations w/o their language materials, w/ original prompt and response representations
<ul> <li>only two 70B LLMs, </li> <li>only SS task, augmented responses representations w/o their language materials, <ul> <li>12 (valid prompts), 2 (LLMs), 2 (Scores)</li> <li>16 ⨉ 2 (LLMs) = 32 files </li> </ul> </li> <li>original prompt and response representations <ul> <li>[1 (prompt) + 1 (response)] ⨉ 2 (LLMs) = 4 files</li> </ul> </li> <li>in total, 32 + 4 = 36 files</li> </ul>
【outputs_search_best_number_tokens_large_scales_SS】only two 8B LLMs, only SS task, [1 (best # of tokens) + 1 (corresponding language materials)] ⨉ 6 (parts) = 12 files
<ul> <li>only two 8B LLMs, </li> <li>only SS task,</li> <li>[1 (best # of tokens) + 1 (corresponding language materials)] ⨉ 6 (parts) = 12 files</li> </ul>
【outputs_search_best_number_tokens_large_scales_Ir】only two 8B LLMs, only Ir task, [1 (best # of tokens) + 1 (corresponding language materials)] ⨉ 6 (parts) = 12 files
<ul> <li>only two 8B LLMs, </li> <li>only Ir task,</li> <li>[1 (best # of tokens) + 1 (corresponding language materials)] ⨉ 6 (parts) = 12 files</li> </ul>
【outputs_search_best_number_tokens_large_scales_HT】only two 8B LLMs, only HT task, [1 (best # of tokens) + 1 (corresponding language materials)] ⨉ 6 (parts) = 12 files
<ul> <li>only two 8B LLMs, </li> <li>only HT task,</li> <li>[1 (best # of tokens) + 1 (corresponding language materials)] ⨉ 6 (parts) = 12 files</li> </ul>
【outputs_search_best_number_tokens_large_scales_FB】only two 8B LLMs, only FB task, [1 (best # of tokens) + 1 (corresponding language materials)] ⨉ 6 (parts) = 12 files
<ul> <li>only two 8B LLMs, </li> <li>only FB task,</li> <li>[1 (best # of tokens) + 1 (corresponding language materials)] ⨉ 6 (parts) = 12 files</li> </ul>
【outputs_search_best_number_tokens_large_scales_SS 012】only two 8B LLMs, only SS 012 task, [1 (best # of tokens) + 1 (corresponding language materials)] ⨉ 6 (parts) = 12 files
<ul> <li>only two 8B LLMs, </li> <li>only SS 012 task,</li> <li>[1 (best # of tokens) + 1 (corresponding language materials)] ⨉ 6 (parts) = 12 files</li> </ul>
【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_12 (2), only two 8B LLMs, 30 (tpms) = 30 files
<ul> <li>Part 12 (2) </li> <li>only two 8B LLMs, </li> <li>only valid results (both MP p value and CI),</li> <li>all permutation controls,</li> <li>all seeds,</li> <li>all linguistic spans,</li> <li>all 5 tasks, </li> <li>30 (tpms) = 30 files</li> </ul>
【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_12 (1), only two 8B LLMs, 30 (tpms) = 30 files
<ul> <li>Part 12 (1)</li> <li>only two 8B LLMs, </li> <li>only valid results (both MP p value and CI),</li> <li>all permutation controls,</li> <li>all seeds,</li> <li>all linguistic spans,</li> <li>all 5 tasks, </li> <li>30 (tpms) = 30 files</li> </ul>
【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_18 (2), only two 8B LLMs, 5 (tpms) = 5 files
<ul> <li>Part 18 (2) only two 8B LLMs, </li> <li>only valid results (both MP p value and CI),</li> <li>all permutation controls,</li> <li>all seeds,</li> <li>all linguistic spans,</li> <li>all 5 tasks, </li> <li>5 (tpms) = 5 files</li> </ul>
【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_18 (1), only two 8B LLMs, 25 (tpms) = 25 files
<ul> <li>Part 18 (1) </li> <li>only two 8B LLMs, </li> <li>only valid results (both MP p value and CI),</li> <li>all permutation controls,</li> <li>all seeds,</li> <li>all linguistic spans,</li> <li>all 5 tasks, </li> <li>25 (tpms) = 25 files</li> </ul>
【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_18 (4), only two 8B LLMs, 8 (tpms) = 8 files
<ul> <li>Part 18 (4) </li> <li>only two 8B LLMs, </li> <li>only valid results (both MP p value and CI),</li> <li>all permutation controls,</li> <li>all seeds,</li> <li>all linguistic spans,</li> <li>all 5 tasks, </li> <li>8 (tpms) = 8 files</li> </ul>
【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_18 (3), only two 8B LLMs, 22 (tpms) = 22 files
<ul> <li>Part 18 (3) </li> <li>only two 8B LLMs, </li> <li>only valid results (both MP p value and CI),</li> <li>all permutation controls,</li> <li>all seeds,</li> <li>all linguistic spans,</li> <li>all 5 tasks, </li> <li>22 (tpms) = 22 files</li> </ul>
【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_1 (1), only two 8B LLMs, 30 (tpms) = 30 files
<ul> <li>Part 1 (1) </li> <li>only two 8B LLMs, </li> <li>only valid results (both MP p value and CI),</li> <li>all permutation controls,</li> <li>all seeds,</li> <li>all linguistic spans,</li> <li>all 5 tasks, </li> <li>30 (tpms) = 30 files</li> </ul>
【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_1 (2), only two 8B LLMs, 30 (tpms) = 30 files
<ul> <li>Part 1 (2) </li> <li>only two 8B LLMs, </li> <li>only valid results (both MP p value and CI),</li> <li>all permutation controls,</li> <li>all seeds,</li> <li>all linguistic spans,</li> <li>all 5 tasks, </li> <li>30 (tpms) = 30 files</li> </ul>
【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_1 (4), only two 8B LLMs, 30 (tpms) = 30 files
<ul> <li>Part 1 (4) </li> <li>only two 8B LLMs, </li> <li>only valid results (both MP p value and CI),</li> <li>all permutation controls,</li> <li>all seeds,</li> <li>all linguistic spans,</li> <li>all 5 tasks, </li> <li>30 (tpms) = 30 files</li> </ul>
【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_1 (3), only two 8B LLMs, 30 (tpms) = 30 files
<ul> <li>Part 1 (3) </li> <li>only two 8B LLMs, </li> <li>only valid results (both MP p value and CI),</li> <li>all permutation controls,</li> <li>all seeds,</li> <li>all linguistic spans,</li> <li>all 5 tasks, </li> <li>30 (tpms) = 30 files</li> </ul>
【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_6 (5), only two 8B LLMs, 20 (tpms) = 20 files
<ul> <li>Part 6 (5) </li> <li>only two 8B LLMs, </li> <li>only valid results (both MP p value and CI),</li> <li>all permutation controls,</li> <li>all seeds,</li> <li>all linguistic spans,</li> <li>all 5 tasks, </li> <li>20 (tpms) = 20 files</li> </ul>
【outputs_best_number_tokens_to_tpm_large_scales】/best_number_tokens_log_part_6 (6), only two 8B LLMs, 10 (tpms) = 10 files
<ul> <li>Part 6 (6) </li> <li>only two 8B LLMs, </li> <li>only valid results (both MP p value and CI),</li> <li>all permutation controls,</li> <li>all seeds,</li> <li>all linguistic spans,</li> <li>all 5 tasks, </li> <li>10 (tpms) = 10 files</li> </ul>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.