Datasets:
File size: 1,678 Bytes
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---
dataset_info:
features:
- name: seq_idx
dtype: int32
- name: step
dtype: int32
- name: sup_seq
dtype: float64
- name: entr_seq
dtype: float64
- name: acc_seq
dtype: float64
- name: avg_rank
dtype: float64
splits:
- name: 2.8b
num_bytes: 93081600
num_examples: 2327040
- name: 1.4b
num_bytes: 93888000
num_examples: 2347200
- name: 410m
num_bytes: 92160000
num_examples: 2304000
- name: 70m
num_bytes: 92160000
num_examples: 2304000
- name: 6.9b
num_bytes: 93888000
num_examples: 2347200
- name: 12b
num_bytes: 93888000
num_examples: 2347200
- name: 160m
num_bytes: 92160000
num_examples: 2304000
download_size: 572947240
dataset_size: 651225600
configs:
- config_name: default
data_files:
- split: 2.8b
path: data/2.8b-*
- split: 1.4b
path: data/1.4b-*
- split: 410m
path: data/410m-*
- split: 70m
path: data/70m-*
- split: 6.9b
path: data/6.9b-*
- split: 12b
path: data/12b-*
- split: 160m
path: data/160m-*
language:
- en
---
This dataset has been created as an artefact of the paper [Causal Estimation of Memorisation Profiles (Lesci et al., 2024)](https://arxiv.org/abs/2406.04327).
More info about this dataset in the related collection [Memorisation-Profiles](https://huggingface.co/collections/pietrolesci/memorisation-profiles-6619604c4594c878cd9d451f).
This folder contains the model evaluations (or "stats") for each model size included in the study and already aggregated at the sequence level. Based on the "raw" version where we have stats at the token level (`pietrolesci/pythia-deduped-stats-raw`). |