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‎__pycache__/spacy.cpython-310.pyc

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‎__pycache__/spacy_test.cpython-310.pyc

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‎en_core_sci_sm-0.5.4/MANIFEST.in

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include meta.json
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include LICENSE
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include LICENSES_SOURCES
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include README.md

‎en_core_sci_sm-0.5.4/PKG-INFO

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Metadata-Version: 2.1
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Name: en_core_sci_sm
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Version: 0.5.4
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Summary: Spacy Models for Biomedical Text.
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Home-page: https://allenai.github.io/SciSpaCy/
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Author: Allen Institute for Artificial Intelligence
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Author-email: [email protected]
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License: CC BY-SA 3.0
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Requires-Dist: spacy<3.8.0,>=3.7.4
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Spacy Models for Biomedical Text.
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_core_sci_sm` |
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| **Version** | `0.5.4` |
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| **spaCy** | `>=3.7.4,<3.8.0` |
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| **Default Pipeline** | `tok2vec`, `tagger`, `attribute_ruler`, `lemmatizer`, `parser`, `ner` |
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| **Components** | `tok2vec`, `tagger`, `attribute_ruler`, `lemmatizer`, `parser`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | OntoNotes 5<br>Common Crawl<br>GENIA 1.0 |
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| **License** | `CC BY-SA 3.0` |
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| **Author** | [Allen Institute for Artificial Intelligence](https://allenai.github.io/SciSpaCy/) |
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### Label Scheme
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<details>
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<summary>View label scheme (98 labels for 3 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
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| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `acomp`, `advcl`, `advmod`, `amod`, `amod@nmod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `cc:preconj`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dative`, `dep`, `det`, `det:predet`, `dobj`, `expl`, `intj`, `mark`, `meta`, `mwe`, `neg`, `nmod`, `nmod:npmod`, `nmod:poss`, `nmod:tmod`, `nsubj`, `nsubjpass`, `nummod`, `parataxis`, `pcomp`, `pobj`, `preconj`, `predet`, `prep`, `punct`, `quantmod`, `xcomp` |
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| **`ner`** | `ENTITY` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `TAG_ACC` | 0.00 |
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| `LEMMA_ACC` | 0.00 |
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| `DEP_UAS` | 0.00 |
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| `DEP_LAS` | 0.00 |
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| `DEP_LAS_PER_TYPE` | 0.00 |
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| `SENTS_P` | 0.00 |
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| `SENTS_R` | 0.00 |
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| `SENTS_F` | 0.00 |
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| `ENTS_F` | 67.95 |
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| `ENTS_P` | 68.60 |
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| `ENTS_R` | 67.32 |
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| `NER_LOSS` | 18662917.16 |

‎en_core_sci_sm-0.5.4/README.md

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Spacy Models for Biomedical Text.
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_core_sci_sm` |
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| **Version** | `0.5.4` |
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| **spaCy** | `>=3.7.4,<3.8.0` |
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| **Default Pipeline** | `tok2vec`, `tagger`, `attribute_ruler`, `lemmatizer`, `parser`, `ner` |
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| **Components** | `tok2vec`, `tagger`, `attribute_ruler`, `lemmatizer`, `parser`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | OntoNotes 5<br>Common Crawl<br>GENIA 1.0 |
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| **License** | `CC BY-SA 3.0` |
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| **Author** | [Allen Institute for Artificial Intelligence](https://allenai.github.io/SciSpaCy/) |
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### Label Scheme
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<details>
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<summary>View label scheme (98 labels for 3 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
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| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `acomp`, `advcl`, `advmod`, `amod`, `amod@nmod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `cc:preconj`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dative`, `dep`, `det`, `det:predet`, `dobj`, `expl`, `intj`, `mark`, `meta`, `mwe`, `neg`, `nmod`, `nmod:npmod`, `nmod:poss`, `nmod:tmod`, `nsubj`, `nsubjpass`, `nummod`, `parataxis`, `pcomp`, `pobj`, `preconj`, `predet`, `prep`, `punct`, `quantmod`, `xcomp` |
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| **`ner`** | `ENTITY` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `TAG_ACC` | 0.00 |
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| `LEMMA_ACC` | 0.00 |
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| `DEP_UAS` | 0.00 |
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| `DEP_LAS` | 0.00 |
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| `DEP_LAS_PER_TYPE` | 0.00 |
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| `SENTS_P` | 0.00 |
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| `SENTS_R` | 0.00 |
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| `SENTS_F` | 0.00 |
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| `ENTS_F` | 67.95 |
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| `ENTS_P` | 68.60 |
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| `ENTS_R` | 67.32 |
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| `NER_LOSS` | 18662917.16 |

‎en_core_sci_sm-0.5.4/en_core_sci_sm.egg-info/PKG-INFO

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Metadata-Version: 2.1
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Name: en-core-sci-sm
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Version: 0.5.4
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Summary: Spacy Models for Biomedical Text.
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Home-page: https://allenai.github.io/SciSpaCy/
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Author: Allen Institute for Artificial Intelligence
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Author-email: [email protected]
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License: CC BY-SA 3.0
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Requires-Dist: spacy<3.8.0,>=3.7.4
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Spacy Models for Biomedical Text.
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| Feature | Description |
14+
| --- | --- |
15+
| **Name** | `en_core_sci_sm` |
16+
| **Version** | `0.5.4` |
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| **spaCy** | `>=3.7.4,<3.8.0` |
18+
| **Default Pipeline** | `tok2vec`, `tagger`, `attribute_ruler`, `lemmatizer`, `parser`, `ner` |
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| **Components** | `tok2vec`, `tagger`, `attribute_ruler`, `lemmatizer`, `parser`, `ner` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | OntoNotes 5<br>Common Crawl<br>GENIA 1.0 |
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| **License** | `CC BY-SA 3.0` |
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| **Author** | [Allen Institute for Artificial Intelligence](https://allenai.github.io/SciSpaCy/) |
24+
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### Label Scheme
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<details>
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<summary>View label scheme (98 labels for 3 components)</summary>
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| Component | Labels |
32+
| --- | --- |
33+
| **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
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| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `acomp`, `advcl`, `advmod`, `amod`, `amod@nmod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `cc:preconj`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dative`, `dep`, `det`, `det:predet`, `dobj`, `expl`, `intj`, `mark`, `meta`, `mwe`, `neg`, `nmod`, `nmod:npmod`, `nmod:poss`, `nmod:tmod`, `nsubj`, `nsubjpass`, `nummod`, `parataxis`, `pcomp`, `pobj`, `preconj`, `predet`, `prep`, `punct`, `quantmod`, `xcomp` |
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| **`ner`** | `ENTITY` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `TAG_ACC` | 0.00 |
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| `LEMMA_ACC` | 0.00 |
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| `DEP_UAS` | 0.00 |
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| `DEP_LAS` | 0.00 |
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| `DEP_LAS_PER_TYPE` | 0.00 |
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| `SENTS_P` | 0.00 |
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| `SENTS_R` | 0.00 |
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| `SENTS_F` | 0.00 |
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| `ENTS_F` | 67.95 |
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| `ENTS_P` | 68.60 |
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| `ENTS_R` | 67.32 |
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| `NER_LOSS` | 18662917.16 |

‎en_core_sci_sm-0.5.4/en_core_sci_sm.egg-info/SOURCES.txt

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MANIFEST.in
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README.md
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meta.json
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setup.py
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en_core_sci_sm/__init__.py
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en_core_sci_sm/meta.json
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en_core_sci_sm.egg-info/PKG-INFO
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en_core_sci_sm.egg-info/SOURCES.txt
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en_core_sci_sm.egg-info/dependency_links.txt
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en_core_sci_sm.egg-info/entry_points.txt
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en_core_sci_sm.egg-info/not-zip-safe
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en_core_sci_sm.egg-info/requires.txt
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en_core_sci_sm.egg-info/top_level.txt
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en_core_sci_sm/en_core_sci_sm-0.5.4/README.md
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en_core_sci_sm/en_core_sci_sm-0.5.4/config.cfg
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en_core_sci_sm/en_core_sci_sm-0.5.4/meta.json
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en_core_sci_sm/en_core_sci_sm-0.5.4/tokenizer
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en_core_sci_sm/en_core_sci_sm-0.5.4/attribute_ruler/patterns
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en_core_sci_sm/en_core_sci_sm-0.5.4/lemmatizer/lookups/lookups.bin
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en_core_sci_sm/en_core_sci_sm-0.5.4/ner/cfg
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en_core_sci_sm/en_core_sci_sm-0.5.4/ner/model
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en_core_sci_sm/en_core_sci_sm-0.5.4/ner/moves
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en_core_sci_sm/en_core_sci_sm-0.5.4/parser/cfg
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en_core_sci_sm/en_core_sci_sm-0.5.4/parser/model
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en_core_sci_sm/en_core_sci_sm-0.5.4/parser/moves
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en_core_sci_sm/en_core_sci_sm-0.5.4/tagger/cfg
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en_core_sci_sm/en_core_sci_sm-0.5.4/tagger/model
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en_core_sci_sm/en_core_sci_sm-0.5.4/tok2vec/cfg
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en_core_sci_sm/en_core_sci_sm-0.5.4/tok2vec/model
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en_core_sci_sm/en_core_sci_sm-0.5.4/vocab/key2row
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en_core_sci_sm/en_core_sci_sm-0.5.4/vocab/lookups.bin
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en_core_sci_sm/en_core_sci_sm-0.5.4/vocab/strings.json
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en_core_sci_sm/en_core_sci_sm-0.5.4/vocab/vectors
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en_core_sci_sm/en_core_sci_sm-0.5.4/vocab/vectors.cfg

‎en_core_sci_sm-0.5.4/en_core_sci_sm.egg-info/dependency_links.txt

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‎en_core_sci_sm-0.5.4/en_core_sci_sm.egg-info/entry_points.txt

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[spacy_models]
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en_core_sci_sm = en_core_sci_sm

‎en_core_sci_sm-0.5.4/en_core_sci_sm.egg-info/not-zip-safe

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‎en_core_sci_sm-0.5.4/en_core_sci_sm.egg-info/requires.txt

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spacy<3.8.0,>=3.7.4

‎en_core_sci_sm-0.5.4/en_core_sci_sm.egg-info/top_level.txt

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en_core_sci_sm

‎en_core_sci_sm-0.5.4/en_core_sci_sm/__init__.py

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from pathlib import Path
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from spacy.util import load_model_from_init_py, get_model_meta
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__version__ = get_model_meta(Path(__file__).parent)['version']
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def load(**overrides):
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return load_model_from_init_py(__file__, **overrides)

‎en_core_sci_sm-0.5.4/en_core_sci_sm/en_core_sci_sm-0.5.4/README.md

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Spacy Models for Biomedical Text.
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| Feature | Description |
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| --- | --- |
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| **Name** | `en_core_sci_sm` |
6+
| **Version** | `0.5.4` |
7+
| **spaCy** | `>=3.7.4,<3.8.0` |
8+
| **Default Pipeline** | `tok2vec`, `tagger`, `attribute_ruler`, `lemmatizer`, `parser`, `ner` |
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| **Components** | `tok2vec`, `tagger`, `attribute_ruler`, `lemmatizer`, `parser`, `ner` |
10+
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Sources** | OntoNotes 5<br>Common Crawl<br>GENIA 1.0 |
12+
| **License** | `CC BY-SA 3.0` |
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| **Author** | [Allen Institute for Artificial Intelligence](https://allenai.github.io/SciSpaCy/) |
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### Label Scheme
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<details>
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<summary>View label scheme (98 labels for 3 components)</summary>
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| Component | Labels |
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| --- | --- |
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| **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
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| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `acomp`, `advcl`, `advmod`, `amod`, `amod@nmod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `cc:preconj`, `ccomp`, `compound`, `compound:prt`, `conj`, `cop`, `csubj`, `dative`, `dep`, `det`, `det:predet`, `dobj`, `expl`, `intj`, `mark`, `meta`, `mwe`, `neg`, `nmod`, `nmod:npmod`, `nmod:poss`, `nmod:tmod`, `nsubj`, `nsubjpass`, `nummod`, `parataxis`, `pcomp`, `pobj`, `preconj`, `predet`, `prep`, `punct`, `quantmod`, `xcomp` |
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| **`ner`** | `ENTITY` |
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</details>
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### Accuracy
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| Type | Score |
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| --- | --- |
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| `TAG_ACC` | 0.00 |
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| `LEMMA_ACC` | 0.00 |
35+
| `DEP_UAS` | 0.00 |
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| `DEP_LAS` | 0.00 |
37+
| `DEP_LAS_PER_TYPE` | 0.00 |
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| `SENTS_P` | 0.00 |
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| `SENTS_R` | 0.00 |
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| `SENTS_F` | 0.00 |
41+
| `ENTS_F` | 67.95 |
42+
| `ENTS_P` | 68.60 |
43+
| `ENTS_R` | 67.32 |
44+
| `NER_LOSS` | 18662917.16 |

‎en_core_sci_sm-0.5.4/en_core_sci_sm/en_core_sci_sm-0.5.4/attribute_ruler/patterns

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