split:
  cmd: python -m weasel run split
  script:
    - python scripts/split.py assets/annotated_data_spans.jsonl
  deps:
    - path: scripts/split.py
      md5: 9983293e4982a7e989ba51456bfc992c
  outs:
    - path: assets/train.jsonl
      md5: 584673b1949bfaaf9166c2212401f728
    - path: assets/dev.jsonl
      md5: 8dab61f2033edcfb8bbeb20a1454283d
    - path: assets/test.jsonl
      md5: 75ef0134ef3aa68ce76230fc6cc80dd4
convert:
  cmd: python -m weasel run convert
  script:
    - python scripts/convert.py en assets/train.jsonl corpus
    - python scripts/convert.py en assets/dev.jsonl corpus
    - python scripts/convert.py en assets/test.jsonl corpus
  deps:
    - path: assets/train.jsonl
      md5: 584673b1949bfaaf9166c2212401f728
    - path: assets/dev.jsonl
      md5: 8dab61f2033edcfb8bbeb20a1454283d
    - path: assets/test.jsonl
      md5: 75ef0134ef3aa68ce76230fc6cc80dd4
    - path: scripts/convert.py
      md5: 8e1f918fad38cf8867e50977d21c0408
  outs:
    - path: corpus/train.spacy
      md5: 90c3e968d70b05835fc8042d534b15e0
    - path: corpus/dev.spacy
      md5: 174b964498a65cbe84993e303c7c4793
    - path: corpus/test.spacy
      md5: b9e5adef7f8b78fe804037a8e59a4cf0
train:
  cmd: python -m weasel run train
  script:
    - python -m spacy train configs/config_trf.cfg --output training/  --paths.train
      corpus/train.spacy --paths.dev corpus/dev.spacy  --training.eval_frequency 10  --training.patience
      100  --gpu-id -1 --system.seed 0
  deps:
    - path: configs/config.cfg
      md5: 479f0a665e528cc7f32ca449a55cb3d1
    - path: corpus/train.spacy
      md5: 90c3e968d70b05835fc8042d534b15e0
    - path: corpus/dev.spacy
      md5: 174b964498a65cbe84993e303c7c4793
  outs:
    - path: training/model-best
      md5: 8d1843c1715af55bcd109ee6e7200afd
evaluate:
  cmd: python -m weasel run evaluate
  script:
    - python -m spacy evaluate training/model-best corpus/test.spacy --output training/metrics.json
  deps:
    - path: corpus/test.spacy
      md5: b9e5adef7f8b78fe804037a8e59a4cf0
    - path: training/model-best
      md5: 8d1843c1715af55bcd109ee6e7200afd
  outs:
    - path: training/metrics.json
      md5: 24152be0160e2a20e88a7577473b208b
train-sm:
  cmd: python -m weasel run train-sm
  script:
    - python -m spacy train configs/config_sm.cfg --output training/sm/  --paths.train
      corpus/train.spacy --paths.dev corpus/dev.spacy  --training.patience 100  --gpu-id
      -1 --system.seed 0
  deps:
    - path: configs/config.cfg
      md5: 479f0a665e528cc7f32ca449a55cb3d1
    - path: corpus/train.spacy
      md5: 90c3e968d70b05835fc8042d534b15e0
    - path: corpus/dev.spacy
      md5: 174b964498a65cbe84993e303c7c4793
  outs:
    - path: training/model-best
      md5: null
evaluate-sm:
  cmd: python -m weasel run evaluate-sm
  script:
    - python -m spacy evaluate training/sm/model-best corpus/test.spacy --output training/sm/metrics.json
  deps:
    - path: corpus/test.spacy
      md5: b9e5adef7f8b78fe804037a8e59a4cf0
    - path: training/sm/model-best
      md5: 11cd6594ac09a0def1f01c51343576b0
  outs:
    - path: training/sm/metrics.json
      md5: 6a8ffabb350c4f0b6262c6e9c45005af
download-lg:
  cmd: python -m weasel run download-lg
  script:
    - python -m spacy download en_core_web_lg
  deps: []
  outs: []
train-lg:
  cmd: python -m weasel run train-lg
  script:
    - python -m spacy train configs/config_lg.cfg --output training/lg/  --paths.train
      corpus/train.spacy --paths.dev corpus/dev.spacy  --training.eval_frequency 50  --training.patience
      0  --gpu-id -1  --initialize.vectors en_core_web_lg  --system.seed 0 --components.tok2vec.model.embed.include_static_vectors
      true
  deps:
    - path: configs/config_lg.cfg
      md5: 283a7f5e530c92c812e7666d52e539a6
    - path: corpus/train.spacy
      md5: 90c3e968d70b05835fc8042d534b15e0
    - path: corpus/dev.spacy
      md5: 174b964498a65cbe84993e303c7c4793
  outs:
    - path: training/model-best
      md5: null
evaluate-lg:
  cmd: python -m weasel run evaluate-lg
  script:
    - python -m spacy evaluate training/lg/model-best corpus/test.spacy --output training/lg/metrics.json
  deps:
    - path: corpus/test.spacy
      md5: b9e5adef7f8b78fe804037a8e59a4cf0
    - path: training/lg/model-best
      md5: 8e296e41d1ab48052ec122eed9154887
  outs:
    - path: training/lg/metrics.json
      md5: 4efed860818658f1533fe204da7c169e
download-md:
  cmd: python -m weasel run download-md
  script:
    - python -m spacy download en_core_web_md
  deps: []
  outs: []
evaluate-md:
  cmd: python -m weasel run evaluate-md
  script:
    - python -m spacy evaluate training/md/model-best corpus/test.spacy --output training/md/metrics.json
  deps:
    - path: corpus/test.spacy
      md5: b9e5adef7f8b78fe804037a8e59a4cf0
    - path: training/md/model-best
      md5: 2725d583e50534609145708af72679bc
  outs:
    - path: training/md/metrics.json
      md5: b92630a9072590b0b9aef4393ca19106
train-md:
  cmd: python -m weasel run train-md
  script:
    - python -m spacy train configs/config_md.cfg --output training/md/  --paths.train
      corpus/train.spacy --paths.dev corpus/dev.spacy  --training.eval_frequency 50  --training.patience
      0  --gpu-id -1  --initialize.vectors en_core_web_md  --system.seed 0 --components.tok2vec.model.embed.include_static_vectors
      true
  deps:
    - path: configs/config_md.cfg
      md5: b641ff9a6ba2162be49f940eeade2004
    - path: corpus/train.spacy
      md5: 90c3e968d70b05835fc8042d534b15e0
    - path: corpus/dev.spacy
      md5: 174b964498a65cbe84993e303c7c4793
  outs:
    - path: training/model-best
      md5: null
build-table:
  cmd: python -m weasel run build-table
  script:
    - python scripts/build-table.py
  deps: []
  outs: []
readme:
  cmd: python -m weasel run readme
  script:
    - python scripts/readme.py
  deps: []
  outs: []