Datasets:
Tasks:
Time Series Forecasting
Modalities:
Time-series
Size:
n<1K
Tags:
language_creators:found
forecasting
benchmark
monash-time-series-forecasting-repository
monash-tsf
tsfile
License:
Add bitcoin TsFile conversion
Browse files- .gitattributes +1 -0
- README.md +86 -0
- bitcoin.tsfile +3 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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bitcoin.tsfile filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: cc-by-4.0
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annotations_creators:
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- no-annotation
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language_creators:
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- found
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multilinguality:
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- monolingual
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source_datasets:
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- original
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task_categories:
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- time-series-forecasting
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task_ids:
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- univariate-time-series-forecasting
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tags:
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- time-series
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- forecasting
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- benchmark
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- monash-time-series-forecasting-repository
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- monash-tsf
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- tsfile
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- apache-tsfile
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- modality:timeseries
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- Time-series
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- format:tsfile
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pretty_name: bitcoin (TsFile format)
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configs:
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- config_name: default
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data_files:
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- split: train
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path: "*.tsfile"
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---
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# bitcoin (TsFile format)
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18 daily time series including hash rate, block size, mining difficulty etc. as well as public opinion in the form of tweets and google searches mentioning the keyword bitcoin as potential influencer of the bitcoin price.
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This repository contains the full source `.tsf` series from the Monash Time Series Forecasting Repository converted to [Apache TsFile](https://tsfile.apache.org/) format. It does not materialize the Hugging Face loader's derived train, validation, or test views.
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## Summary
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- Source dataset: [`Monash-University/monash_tsf`](https://huggingface.co/datasets/Monash-University/monash_tsf)
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- Original source: https://zenodo.org/record/5121965
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- Monash subset: `bitcoin`
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- Modalities: Time-series
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- Source series: 18
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- Rows: 82,458 flattened timestamped observations
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- Frequency: `daily`
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- Forecast horizon metadata: not specified
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- Missing-values metadata: True
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- Equal-length metadata: False
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- Missing target values preserved as NaN: 8,088
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- Series length range: 4,581 to 4,581
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- TsFile output: 1 file (bitcoin.tsfile)
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## Files
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- `bitcoin.tsfile`
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## TsFile Schema
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| Column | Role | TsFile type |
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|---|---|---|
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| `Time` | TIME | INT64 |
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| `series_id` | TAG | STRING |
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| `series_name` | TAG | STRING |
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| `start_timestamp` | TAG | STRING |
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| `target` | FIELD | FLOAT |
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## Conversion Notes
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- Each source `.tsf` data row is stored as one TsFile device.
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- Source `.tsf` attributes are stored as TAG columns.
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- The `target` series values are flattened into timestamped rows and stored as a FLOAT FIELD.
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- `Time` is synthesized from the source start timestamp and the `.tsf` frequency metadata, with millisecond precision.
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- The conversion preserves the complete source series and does not create train, validation, or test split files.
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- Large outputs may be sharded by the TsFile conversion tool; all listed shards belong to the same logical table `bitcoin`.
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## Reading Example
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```python
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from tsfile import TsFileReader
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reader = TsFileReader("bitcoin.tsfile")
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schemas = reader.get_all_table_schemas()
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```
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bitcoin.tsfile
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b82eb13d27dd9c389a533a0a24a0f98f00f5e63a6387a8581e791416e6bb88a
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size 259578
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