Datasets:
Tasks:
Text Generation
Languages:
English
Size:
10M<n<100M
ArXiv:
Tags:
elastic-models
foundation-models
hyperparameter-transfer
maximal-update-parameterization
pretraining
License:
Rename the dataset repository to Can111/ShellElastic-data
Browse files
README.md
CHANGED
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@@ -57,7 +57,7 @@ The configs of the code repository read the training data from `data/dclm-baseli
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```python
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from huggingface_hub import snapshot_download
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snapshot_download("Can111/ShellElastic-
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```
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To download only the shards that the runs of one scale read (here 119M–285M; the columns `read_375M-906M` and
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@@ -67,7 +67,7 @@ To download only the shards that the runs of one scale read (here 119M–285M; t
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import csv
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from huggingface_hub import hf_hub_download, snapshot_download
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repo = "Can111/ShellElastic-
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with open(hf_hub_download(repo, "shards.tsv", repo_type="dataset")) as f:
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shards = [r["shard"] for r in csv.DictReader(f, delimiter="\t") if int(r["read_119M-285M"]) > 0]
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snapshot_download(repo, repo_type="dataset", local_dir="data",
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```python
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from huggingface_hub import snapshot_download
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snapshot_download("Can111/ShellElastic-data", repo_type="dataset", local_dir="data")
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```
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To download only the shards that the runs of one scale read (here 119M–285M; the columns `read_375M-906M` and
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import csv
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from huggingface_hub import hf_hub_download, snapshot_download
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repo = "Can111/ShellElastic-data"
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with open(hf_hub_download(repo, "shards.tsv", repo_type="dataset")) as f:
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shards = [r["shard"] for r in csv.DictReader(f, delimiter="\t") if int(r["read_119M-285M"]) > 0]
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snapshot_download(repo, repo_type="dataset", local_dir="data",
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