# HG changeset patch # User stevecassidy # Date 1472695647 14400 # Node ID 3a9f20428cff5b06bb901566a2819075f9b65c41 # Parent c0569deac8d98402ad158670c8f068cd7f373675 planemo upload commit f36456464c692ed9d39a9cf654d09fe793113cce-dirty diff -r c0569deac8d9 -r 3a9f20428cff __pycache__/pyalveo.cpython-35.pyc Binary file __pycache__/pyalveo.cpython-35.pyc has changed diff -r c0569deac8d9 -r 3a9f20428cff alveo_api_key.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/alveo_api_key.py Wed Aug 31 22:07:27 2016 -0400 @@ -0,0 +1,44 @@ +from __future__ import print_function +import argparse +import pyalveo +import sys + +API_URL = 'https://app.alveo.edu.au' + +def parser(): + parser = argparse.ArgumentParser(description="Retrieves Alveo Item Lists") + parser.add_argument('--api_key', required=True, action="store", type=str, help="Alveo API key") + parser.add_argument('--output_path', required=True, action="store", type=str, help="File to store the API key in") + return parser.parse_args() + +def write_key(api_key, output_path, client_module=pyalveo): + """Tests whether an API key is valid and writes it to a file. + + :type api_key: String + :param api_key: Alveo API key + + :type output_path: String + :param output_path: Path to the file to store the API key in + + :type client_module: pyalveo.Client + :param client_module: Module providing the client (used for testing purposes), + defaults to pyalveo + + :raises: pyalveo.APIError if the API request is not successful + + """ + client = client_module.Client(api_key, API_URL, use_cache=False) + outfile = open(output_path, 'w') + outfile.write(api_key) + outfile.close() + +def main(): + args = parser() + try: + write_key(args.api_key, args.output_path) + except Exception as e: + print("ERROR: " + str(e), file=sys.stderr) + sys.exit(1) + +if __name__ == '__main__': + main() diff -r c0569deac8d9 -r 3a9f20428cff alveo_api_key.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/alveo_api_key.xml Wed Aug 31 22:07:27 2016 -0400 @@ -0,0 +1,39 @@ + + for use with Alveo tools + + + pyalveo + + + + alveo_api_key.py --api_key $api_key --output_path $output + + + + + + + + + + + + + + + + + + Stores Alveo API keys for use with the Alveo Galaxy tools. + + + + @article{cassidy2014alveo, + title={The alveo virtual laboratory: a web based repository API}, + author={Cassidy, Steve and Estival, Dominique and Jones, Tim and Sefton, Peter and Burnham, Denis and Burghold, Jared and others}, + year={2014}, + publisher={Reykjavik, Iceland: European Language Resources Association} + } + + + diff -r c0569deac8d9 -r 3a9f20428cff alveo_get_item_data.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/alveo_get_item_data.py Wed Aug 31 22:07:27 2016 -0400 @@ -0,0 +1,101 @@ +from __future__ import print_function +import json +import argparse +import pyalveo +import sys +import os +from fnmatch import fnmatch +import csv + +API_URL = 'https://app.alveo.edu.au' # TODO: export constants to a separate module + +def parser(): + parser = argparse.ArgumentParser(description="Downloads documents in an Alveo Item List") + parser.add_argument('--api_key', required=True, action="store", type=str, help="Alveo API key") + parser.add_argument('--item_list', required=True, action="store", type=str, help="File containing list of item URLs") + parser.add_argument('--patterns', required=True, action="store", type=str, help="File patterns to download") + parser.add_argument('--output_path', required=True, action="store", type=str, help="Path to output file") + return parser.parse_args() + +def read_item_list(filename, client): + """Read an item list from a file + which should be a tabular formatted file + with one column header ItemURL. + Return an instance of ItemGroup""" + + with open(filename) as fd: + csvreader = csv.DictReader(fd, dialect='excel-tab') + if 'ItemURL' not in csvreader.fieldnames: + return None + itemurls = [] + for row in csvreader: + itemurls.append(row['ItemURL']) + + print("ITEMS:", itemurls) + itemlist = pyalveo.ItemGroup(itemurls, client) + + return itemlist + +# this file name pattern allows galaxy to discover the dataset designation and type +FNPAT = "%(designation)s#%(ext)s" + +def galaxy_name(itemname, fname): + """construct a filename suitable for Galaxy dataset discovery + designation - (dataset identifier) is the file basename + ext - defines the dataset type and is the file extension + """ + + root, ext = os.path.splitext(fname) + ext = ext[1:] # remove initial . + fname = FNPAT % {'designation': itemname, 'ext': ext} + + return fname + +def download_documents(item_list, patterns, output_path): + """ + Downloads a list of documents to the directory specificed by output_path. + + :type documents: list of pyalveo.Document + :param documents: Documents to download + + :type output_path: String + :param output_path: directory to download to the documents to + """ + if not os.path.exists(output_path): + os.makedirs(output_path) + + downloaded = [] + + items = item_list.get_all() + filtered_documents = [] + for item in items: + documents = item.get_documents() + for doc in documents: + for pattern in patterns: + if not pattern == '' and fnmatch(doc.get_filename(), pattern): + fname = galaxy_name(item.metadata()['alveo:metadata']['dc:identifier'], doc.get_filename()) + try: + doc.download_content(dir_path=output_path, filename=fname) + downloaded.append(doc.get_filename()) + except: + # maybe it doesn't exist or we have no access + # TODO: report this + pass + return downloaded + +def main(): + args = parser() + try: + api_key = open(args.api_key, 'r').read().strip() + + client = pyalveo.Client(api_url=API_URL, api_key=api_key, use_cache=False) + + item_list = read_item_list(args.item_list, client) + patterns = args.patterns.split(',') + downloaded = download_documents(item_list, patterns, args.output_path) + except pyalveo.APIError as e: + print("ERROR: " + str(e), file=sys.stderr) + sys.exit(1) + +if __name__ == '__main__': + main() diff -r c0569deac8d9 -r 3a9f20428cff alveo_get_item_data.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/alveo_get_item_data.xml Wed Aug 31 22:07:27 2016 -0400 @@ -0,0 +1,68 @@ + + Downloads files from the items in an Galaxy list of items + + + pyalveo + + + + alveo_get_item_data.py --api_key $api_key --item_list $item_list --patterns $patterns,$patternselect --output_path ItemListData + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Downloads files from a local list of Alveo items. You can download all files or those matching + a wildcard pattern (e.g. *.txt). Results will be stored as a dataset collection in + your history. + + + @article{cassidy2014alveo, + title={The alveo virtual laboratory: a web based repository API}, + author={Cassidy, Steve and Estival, Dominique and Jones, Tim and Sefton, Peter and Burnham, Denis and Burghold, Jared and others}, + year={2014}, + publisher={Reykjavik, Iceland: European Language Resources Association} + } + + + diff -r c0569deac8d9 -r 3a9f20428cff alveo_get_primary_text.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/alveo_get_primary_text.py Wed Aug 31 22:07:27 2016 -0400 @@ -0,0 +1,71 @@ +from __future__ import print_function +import json +import argparse +import pyalveo +import sys +import os +from fnmatch import fnmatch + +API_URL = 'https://app.alveo.edu.au' # TODO: export constants to a separate module + +def parser(): + parser = argparse.ArgumentParser(description="Downloads documents in an Alveo Item List") + parser.add_argument('--api_key', required=True, action="store", type=str, help="Alveo API key") + parser.add_argument('--item_list_url', required=True, action="store", type=str, help="Item List to download") + parser.add_argument('--output_path', required=True, action="store", type=str, help="Path to output file") + return parser.parse_args() + +def get_item_list(api_key, item_list_url): + client = pyalveo.Client(api_key=api_key, api_url=API_URL, use_cache=False) + return client.get_item_list(item_list_url) + +# this file name pattern allows galaxy to discover the dataset designation and type +FNPAT = "%(designation)s_%(ext)s" + +def galaxy_name(fname, ext): + """construct a filename suitable for Galaxy dataset discovery""" + + fname = FNPAT % {'designation': fname, 'ext': ext} + + return fname +import pprint +def download_documents(item_list, output_path): + """ + Downloads a list of documents to the directory specificed by output_path. + + :type documents: list of pyalveo.Document + :param documents: Documents to download + + :type output_path: String + :param output_path: directory to download to the documents to + """ + if not os.path.exists(output_path): + os.makedirs(output_path) + + downloaded = [] + + items = item_list.get_all() + filtered_documents = [] + for item in items: + md = item.metadata() + fname = os.path.join(output_path, galaxy_name(md['alveo:metadata']['dc:identifier'], 'txt')) + content = item.get_primary_text() + if not content == None: + with open(fname, 'w') as out: + out.write(content) + + return downloaded + +def main(): + args = parser() + try: + api_key = open(args.api_key, 'r').read().strip() + item_list = get_item_list(api_key, args.item_list_url) + downloaded = download_documents(item_list, args.output_path) + # write out a list of downloaded files as a result? + except pyalveo.APIError as e: + print("ERROR: " + str(e), file=sys.stderr) + sys.exit(1) + +if __name__ == '__main__': + main() diff -r c0569deac8d9 -r 3a9f20428cff alveo_get_primary_text.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/alveo_get_primary_text.xml Wed Aug 31 22:07:27 2016 -0400 @@ -0,0 +1,68 @@ + + Downloads primary text from the items in an Alveo Item List + + + pyalveo + + + + alveo_get_primary_text.py --api_key $api_key --item_list_url $item_list_url --output_path ItemListData + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Downloads the primary text for each item from an Alveo Item List + + + @article{cassidy2014alveo, + title={The alveo virtual laboratory: a web based repository API}, + author={Cassidy, Steve and Estival, Dominique and Jones, Tim and Sefton, Peter and Burnham, Denis and Burghold, Jared and others}, + year={2014}, + publisher={Reykjavik, Iceland: European Language Resources Association} + } + + + diff -r c0569deac8d9 -r 3a9f20428cff alveo_item_list_downloader.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/alveo_item_list_downloader.py Wed Aug 31 22:07:27 2016 -0400 @@ -0,0 +1,85 @@ +from __future__ import print_function +import json +import argparse +import pyalveo +import sys +import os +from fnmatch import fnmatch + +API_URL = 'https://app.alveo.edu.au' # TODO: export constants to a separate module + +def parser(): + parser = argparse.ArgumentParser(description="Downloads documents in an Alveo Item List") + parser.add_argument('--api_key', required=True, action="store", type=str, help="Alveo API key") + parser.add_argument('--item_list_url', required=True, action="store", type=str, help="Item List to download") + parser.add_argument('--patterns', required=True, action="store", type=str, help="File patterns to download") + parser.add_argument('--output_path', required=True, action="store", type=str, help="Path to output file") + return parser.parse_args() + +def get_item_list(api_key, item_list_url): + client = pyalveo.Client(api_key=api_key, api_url=API_URL, use_cache=False) + return client.get_item_list(item_list_url) + +# this file name pattern allows galaxy to discover the dataset designation and type +FNPAT = "%(designation)s_%(ext)s" + + +def galaxy_name(itemname, fname): + """construct a filename suitable for Galaxy dataset discovery + designation - (dataset identifier) is the file basename + ext - defines the dataset type and is the file extension + """ + + root, ext = os.path.splitext(fname) + ext = ext[1:] # remove initial . + fname = FNPAT % {'designation': itemname, 'ext': ext} + + return fname + + +def download_documents(item_list, patterns, output_path): + """ + Downloads a list of documents to the directory specificed by output_path. + + :type documents: list of pyalveo.Document + :param documents: Documents to download + + :type output_path: String + :param output_path: directory to download to the documents to + """ + if not os.path.exists(output_path): + os.makedirs(output_path) + + downloaded = [] + + items = item_list.get_all() + filtered_documents = [] + for item in items: + documents = item.get_documents() + for doc in documents: + for pattern in patterns: + if not pattern == '' and fnmatch(doc.get_filename(), pattern): + fname = galaxy_name(item.metadata()['alveo:metadata']['dc:identifier'], doc.get_filename()) + try: + doc.download_content(dir_path=output_path, filename=fname) + downloaded.append(doc.get_filename()) + except: + # maybe it doesn't exist or we have no access + # TODO: report this + pass + return downloaded + +def main(): + args = parser() + try: + api_key = open(args.api_key, 'r').read().strip() + item_list = get_item_list(api_key, args.item_list_url) + patterns = args.patterns.split(',') + downloaded = download_documents(item_list, patterns, args.output_path) + # write out a list of downloaded files as a result? + except pyalveo.APIError as e: + print("ERROR: " + str(e), file=sys.stderr) + sys.exit(1) + +if __name__ == '__main__': + main() diff -r c0569deac8d9 -r 3a9f20428cff alveo_item_list_downloader.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/alveo_item_list_downloader.xml Wed Aug 31 22:07:27 2016 -0400 @@ -0,0 +1,91 @@ + + Downloads files from the items in an Alveo Item List + + + pyalveo + + + + alveo_item_list_downloader.py --api_key $api_key --item_list_url $item_list_url --patterns $patterns,$patternselect --output_path ItemListData + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + Downloads files from an Alveo Item list. You can download all files or those matching + a wildcard pattern (e.g. *.txt). Results will be stored as a dataset collection in + your history. + + + @article{cassidy2014alveo, + title={The alveo virtual laboratory: a web based repository API}, + author={Cassidy, Steve and Estival, Dominique and Jones, Tim and Sefton, Peter and Burnham, Denis and Burghold, Jared and others}, + year={2014}, + publisher={Reykjavik, Iceland: European Language Resources Association} + } + + + diff -r c0569deac8d9 -r 3a9f20428cff alveo_item_list_importer.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/alveo_item_list_importer.py Wed Aug 31 22:07:27 2016 -0400 @@ -0,0 +1,41 @@ +from __future__ import print_function +import json +import argparse +import pyalveo +import sys + +API_URL = 'https://app.alveo.edu.au' # TODO: export constants to a separate module + + +def parser(): + parser = argparse.ArgumentParser(description="Retrieves Alveo Item Lists") + parser.add_argument('--api_key', required=True, action="store", type=str, help="Alveo API key") + parser.add_argument('--output', required=True, action="store", type=str, help="Path to output file") + return parser.parse_args() + +# TODO: export common function to helper module +def get_item_lists(api_key): + client = pyalveo.Client(api_key=api_key, api_url=API_URL, use_cache=False) + return client.get_item_lists() + +def write_table(item_lists, filename): + with open(filename, 'w') as outfile: + for list_set in item_lists.values(): + for item_list in list_set: + outfile.write("%s (%d)\t%s\n" % (item_list['name'], item_list['num_items'], item_list['item_list_url'])) + +def main(): + args = parser() + try: + api_key = open(args.api_key, 'r').read().strip() + item_lists = get_item_lists(api_key) + print(item_lists) + if item_lists: + write_table(item_lists, args.output) + except Exception as e: + print("ERROR: " + str(e), file=sys.stderr) + sys.exit(1) + + +if __name__ == '__main__': + main() diff -r c0569deac8d9 -r 3a9f20428cff alveo_item_list_importer.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/alveo_item_list_importer.xml Wed Aug 31 22:07:27 2016 -0400 @@ -0,0 +1,37 @@ + + Retrieves item list metadata. + + + pyalveo + + + + alveo_item_list_importer.py --api_key $api_key --output $item_list + + + + + + + + + + + + + Import Item Lists from Alveo. This imports the lists, but does not download the individual items. + That task is performed by the *Get Files from Alveo* tool. + + + + + @article{cassidy2014alveo, + title={The alveo virtual laboratory: a web based repository API}, + author={Cassidy, Steve and Estival, Dominique and Jones, Tim and Sefton, Peter and Burnham, Denis and Burghold, Jared and others}, + year={2014}, + publisher={Reykjavik, Iceland: European Language Resources Association} + } + + + diff -r c0569deac8d9 -r 3a9f20428cff austalk-select-hVd-words.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/austalk-select-hVd-words.py Wed Aug 31 22:07:27 2016 -0400 @@ -0,0 +1,87 @@ +from __future__ import print_function +import argparse +import pyalveo +import sys + +API_URL = 'https://app.alveo.edu.au/' +PREFIXES = """ +PREFIX dc: +PREFIX austalk: +PREFIX olac: +PREFIX ausnc: +PREFIX foaf: +PREFIX dbpedia: +PREFIX rdf: +PREFIX rdfs: +PREFIX geo: +PREFIX iso639schema: +PREFIX austalkid: +PREFIX iso639: +PREFIX xsd: +PREFIX is: +PREFIX iso: +PREFIX dada: """ + +def parser(): + parser = argparse.ArgumentParser(description="Retrieves Alveo Item Lists") + parser.add_argument('--api_key', required=True, action="store", type=str, help="Alveo API key") + parser.add_argument('--speaker', required=True, action="store", type=str, help="Speaker identifier") + parser.add_argument('--words', required=False, default='all', action="store", type=str, help="Word group (all, monopthongs, dipthongs)") + parser.add_argument('--output', required=True, action="store", type=str, help="output file name") + return parser.parse_args() + +def find_hVd_words(api_key, speakerid, output, words='all'): + """Find words in the Austalk corpus + """ + + client = pyalveo.Client(api_key, API_URL, use_cache=False) + + query = PREFIXES + """ +SELECT distinct ?item ?prompt ?compname +WHERE { + ?item a ausnc:AusNCObject . + ?item olac:speaker ?speaker . + ?speaker austalk:id "%s" . + ?item austalk:prompt ?prompt . + ?item austalk:componentName ?compname . + """ % speakerid + + hVdWords = { + 'monopthongs': ['head', 'had', 'hud', 'heed', 'hid', 'hood', 'hod', "whod"], + 'dipthongs': ['herd', 'howd', 'hoyd', 'haired', 'hard', 'heared'] + } + + if words == 'all': + words = hVdWords['monopthongs'] + hVdWords['dipthongs'] + else: + words = hVdWords[words] + + filterclause = 'FILTER regex(?prompt, "^' + filterclause += '$|^'.join(words) + filterclause += '$", "i")\n' + + query += filterclause + "}" + + result = client.sparql_query('austalk', query) + + items = [] + for b in result['results']['bindings']: + items.append((b['prompt']['value'], b['item']['value'])) + + with open(output, 'w') as out: + out.write("Speaker\tPrompt\tItemURL\n") + for item in items: + out.write(speakerid + "\t" + item[0] + "\t" + item[1] + "\n") + + +def main(): + args = parser() + try: + api_key = open(args.api_key, 'r').read().strip() + find_hVd_words(api_key, args.speaker, args.output, args.words) + except Exception as e: + print("ERROR: " + str(e), file=sys.stderr) + sys.exit(1) + +if __name__ == '__main__': + main() diff -r c0569deac8d9 -r 3a9f20428cff austalk-select-hVd-words.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/austalk-select-hVd-words.xml Wed Aug 31 22:07:27 2016 -0400 @@ -0,0 +1,44 @@ + + for a single speaker + + + pyalveo + + + + austalk-select-hVd-words.py --api_key $api_key --speaker $speaker --words $words --output $output + + + + + + + + + + + + + + + + + + + + + Find items corresponding to the hVd words for this Austalk speaker. + + + + @inproceedings{Buschmeir2013, + author = {{Hendrik Buschmeier}, Marcin Wlodarczak}, + booktitle = {Tagungsband der 24. Konferenz zur Elektronischen Sprachsignalverarbeitung (ESSV 2013)}, + pages = {152--157}, + title = {{TextGridTools: A TextGrid Processing and Analysis Toolkit for Python}}, + year = {2013} + } + + + diff -r c0569deac8d9 -r 3a9f20428cff phonR_tool.R --- a/phonR_tool.R Wed Aug 31 22:02:30 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,52 +0,0 @@ -# -# Galaxy tool that plots Vowels using the phonR package. -# Accepts 8 inputs of the form -# Created by Michael Bauer -# -library(phonR) -library('getopt') - -#create options -option_specification = matrix(c( - 'outdir', 'f', 1, 'character', - 'htmlfile', 'h', 1, 'character', - 'inputfile', 'i', 1, 'character', - 'column1', 'y', 1, 'integer', - 'column2', 'z', 1, 'integer', - 'columnvowels', 'x', 1, 'integer', - 'pretty', 'p', 1, 'logical', - 'ellipse', 'e', 1, 'logical', - 'tokens', 't', 1, 'logical', - 'means', 'm', 1, 'logical', - 'cextokens', 'c', 1, 'numeric', - 'alphatokens', 'a', 1, 'numeric', - 'cexmeans', 'b', 1, 'numeric' -), byrow=TRUE, ncol=4); - -# Parse options -options = getopt(option_specification); - -if (!is.null(options$outdir)) { - # Create the directory - dir.create(options$outdir,FALSE) -} - -pngfile <- gsub("[ ]+", "", paste(options$outdir,"/pngfile.png")) -htmlfile <- gsub("[ ]+", "", paste(options$htmlfile)) - -data = read.table(options$inputfile,sep="\t", header=TRUE); - -png(pngfile); - -plotVowels(data[,options$column1], data[,options$column2], data[,options$columnvowels], plot.tokens = options$tokens, - pch.tokens = data[,options$columnvowels], cex.tokens = options$cextokens, alpha.tokens = options$alphatokens, - plot.means = options$means, pch.means = data[,options$columnvowels], cex.means = options$cexmeans, - var.col.by = data[,options$columnvowels], ellipse.line = options$ellipse, pretty = options$pretty) -dev.off(); - -htmlfile_handle <- file(htmlfile) -html_output = c('', - '

Result:

', - ''); -writeLines(html_output, htmlfile_handle); -close(htmlfile_handle); diff -r c0569deac8d9 -r 3a9f20428cff phonR_tool.xml --- a/phonR_tool.xml Wed Aug 31 22:02:30 2016 -0400 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,52 +0,0 @@ - - Using phonR to produce a Vowel Plot - - - R - phonR - - - - $__tool_directory__/phonR_tool.R --input="${input}" --outdir="$htmlfile.files_path" --htmlfile="$htmlfile" --column1="${f1}" --column2="${f2}" --columnvowels="${vowel}" --pretty="${pretty}" --ellipse="${ellipse}" --tokens="${tokens}" --means="${means}" --cextokens="${cextokens}" --alphatokens="${alphatokens}" --cexmeans="${cexmeans}" - - - - - - - - - - - - - - - - - - - - - - - - - - - - Will make a vowel plot from given data. Best used from data directly run from the "Get Formants at segment midpoint" Tool. - - - diff -r c0569deac8d9 -r 3a9f20428cff test --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test Wed Aug 31 22:07:27 2016 -0400 @@ -0,0 +1,16 @@ +Adelaide (6840) https://app.alveo.edu.au/item_lists/478 +austalk_catepillar (309) https://app.alveo.edu.au/item_lists/64 +different (888) https://app.alveo.edu.au/item_lists/132 +gum-tree (58) https://app.alveo.edu.au/item_lists/84 +M&D_Test_140904 (10) https://app.alveo.edu.au/item_lists/168 +rose (245) https://app.alveo.edu.au/item_lists/82 +thistle (16) https://app.alveo.edu.au/item_lists/83 +ace-specialised (122) https://app.alveo.edu.au/item_lists/178 +austalk-adult-csl-child-match (250) https://app.alveo.edu.au/item_lists/904 +austalk-digits (144) https://app.alveo.edu.au/item_lists/517 +austalk_textgrid_sample (10) https://app.alveo.edu.au/item_lists/484 +COOEE ALL (1354) https://app.alveo.edu.au/item_lists/95 +cooee sample (129) https://app.alveo.edu.au/item_lists/53 +dialogue-all (76) https://app.alveo.edu.au/item_lists/116 +dialogue-sample (6) https://app.alveo.edu.au/item_lists/180 +mdsample (20) https://app.alveo.edu.au/item_lists/52