bump version number to v0.2.0

README.md

@@ -18,7 +18,7 @@ pip install scispacy
 to install a model (see our full selection of available models below), run a command like the following:
 
 ```bash
-pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_core_sci_sm-0.1.0.tar.gz
+pip install https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.0/en_core_sci_sm-0.2.0.tar.gz
 ```
 
 Note: We strongly recommend that you use an isolated Python environment (such as virtualenv or conda) to install scispacy.
@@ -72,12 +72,12 @@ pip install CMD-V(to paste the copied URL)
 
 | Model          | Description       | Install URL
 |:---------------|:------------------|:----------|
-| en_core_sci_sm | A full spaCy pipeline for biomedical data. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_core_sci_sm-0.1.0.tar.gz)|
-| en_core_sci_md |  A full spaCy pipeline for biomedical data with a larger vocabulary and word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_core_sci_md-0.1.0.tar.gz)|
-| en_ner_craft_md|  A spaCy NER model trained on the CRAFT corpus.|[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_ner_craft_md-0.1.0.tar.gz)|
-| en_ner_jnlpba_md | A spaCy NER model trained on the JNLPBA corpus.| [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_ner_jnlpba_md-0.1.0.tar.gz)|
-| en_ner_bc5cdr_md |  A spaCy NER model trained on the BC5CDR corpus. | [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_ner_bc5cdr_md-0.1.0.tar.gz)|
-| en_ner_bionlp13cg_md |  A spaCy NER model trained on the BIONLP13CG corpus. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_ner_bionlp13cg_md-0.1.0.tar.gz)|
+| en_core_sci_sm | A full spaCy pipeline for biomedical data. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.0/en_core_sci_sm-0.2.0.tar.gz)|
+| en_core_sci_md |  A full spaCy pipeline for biomedical data with a larger vocabulary and word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.0/en_core_sci_md-0.2.0.tar.gz)|
+| en_ner_craft_md|  A spaCy NER model trained on the CRAFT corpus.|[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.0/en_ner_craft_md-0.2.0.tar.gz)|
+| en_ner_jnlpba_md | A spaCy NER model trained on the JNLPBA corpus.| [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.0/en_ner_jnlpba_md-0.2.0.tar.gz)|
+| en_ner_bc5cdr_md |  A spaCy NER model trained on the BC5CDR corpus. | [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.0/en_ner_bc5cdr_md-0.2.0.tar.gz)|
+| en_ner_bionlp13cg_md |  A spaCy NER model trained on the BIONLP13CG corpus. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.0/en_ner_bionlp13cg_md-0.2.0.tar.gz)|
 
 ## Citing
 

docs/index.md

@@ -13,12 +13,12 @@ pip install <Model URL>
 
 | Model          | Description       | Install URL
 |:---------------|:------------------|:----------|
-| en_core_sci_sm | A full spaCy pipeline for biomedical data. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_core_sci_sm-0.1.0.tar.gz)|
-| en_core_sci_md |  A full spaCy pipeline for biomedical data with a larger vocabulary and word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_core_sci_md-0.1.0.tar.gz)|
-| en_ner_craft_md|  A spaCy NER model trained on the CRAFT corpus.|[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_ner_craft_md-0.1.0.tar.gz)|
-| en_ner_jnlpba_md | A spaCy NER model trained on the JNLPBA corpus.| [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_ner_jnlpba_md-0.1.0.tar.gz)|
-| en_ner_bc5cdr_md |  A spaCy NER model trained on the BC5CDR corpus. | [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_ner_bc5cdr_md-0.1.0.tar.gz)|
-| en_ner_bionlp13cg_md |  A spaCy NER model trained on the BIONLP13CG corpus. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.1.0/en_ner_bionlp13cg_md-0.1.0.tar.gz)|
+| en_core_sci_sm | A full spaCy pipeline for biomedical data. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.0/en_core_sci_sm-0.2.0.tar.gz)|
+| en_core_sci_md |  A full spaCy pipeline for biomedical data with a larger vocabulary and word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.0/en_core_sci_md-0.2.0.tar.gz)|
+| en_ner_craft_md|  A spaCy NER model trained on the CRAFT corpus.|[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.0/en_ner_craft_md-0.2.0.tar.gz)|
+| en_ner_jnlpba_md | A spaCy NER model trained on the JNLPBA corpus.| [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.0/en_ner_jnlpba_md-0.2.0.tar.gz)|
+| en_ner_bc5cdr_md |  A spaCy NER model trained on the BC5CDR corpus. | [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.0/en_ner_bc5cdr_md-0.2.0.tar.gz)|
+| en_ner_bionlp13cg_md |  A spaCy NER model trained on the BIONLP13CG corpus. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.0/en_ner_bionlp13cg_md-0.2.0.tar.gz)|
 
 
 

scispacy/version.py

@@ -1,6 +1,6 @@
 _MAJOR = "0"
-_MINOR = "1"
-_REVISION = "0-unreleased"
+_MINOR = "2"
+_REVISION = "0"
 
 VERSION_SHORT = "{0}.{1}".format(_MAJOR, _MINOR)
 VERSION = "{0}.{1}.{2}".format(_MAJOR, _MINOR, _REVISION)

scripts/release.py

@@ -46,7 +46,7 @@ def run_prerelease_checks(release: str):
     for line in remote_output.split("\n"):
         if line.strip():
             upstream_name, url, fetch_push = line.split()
-            if fetch_push == "(push)" and (("allenai/SciSpaCy" in url) and ("github.com" in url)):
+            if fetch_push == "(push)" and (("allenai/scispacy" in url) and ("github.com" in url)):
                     break
     else:
         # Never found a remote pointing at the right repo