Buckets:
| from datasets import load_dataset | |
| source = "AmazonScience/massive" | |
| #Individual locales are downloaded from version 1.1 which has Catalan (ca-ES) added in | |
| dataset = load_dataset(source, "en-US", download_mode="force_redownload") | |
| print(dataset) | |
| print(dataset["train"][0]) | |
| #Using version 1.1 which has Catalan (ca-ES) added in | |
| dataset = load_dataset(source, "all_v1.1", download_mode="force_redownload") | |
| print(dataset) | |
| print(dataset["train"][0]) | |
| #Using version 1.0 | |
| dataset = load_dataset(source, "all", download_mode="force_redownload") | |
| print(dataset) | |
| print(dataset["train"][0]) | |
Xet Storage Details
- Size:
- 580 Bytes
- Xet hash:
- 032bcac4338ca05217f036e69d036f08441ec0211be87a1375d4f9abe8d0984a
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Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.