initial data

README.md

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+# Zooniverse campaign
+
+- [Summary](#summary)
+  - [Workflow](#workflow)
+  - [Repository structure](#repository-structure)
+- [Sample selection and extraction](#sample-selection-and-extraction)
+  - [Sampling](#sampling)
+  - [Building empty eaf annotations](#building-empty-eaf-annotations)
+  - [Extracting audio clips (optional)](#extracting-audio-clips-optional)
+- [Exchanging annotations with annotators](#exchanging-annotations-with-annotators)
+  - [Allocating annotations](#allocating-annotations)
+  - [Uploading annotations to the DropBox](#uploading-annotations-to-the-dropbox)
+  - [Fetching humans annotations](#fetching-humans-annotations)
+- [Running tests](#running-tests)
+
+## Summary
+
+The present repository showcases the organization
+of a Zooniverse campaign using ChildProject and DataLad.
+
+This campaign requires citizens to listen to 500 ms audio clips
+and to perform the following tasks:
+
+1. Decide whether they hear speech from either a Baby, a Child, an Adolescent, an Adult, or no speech.
+2. Guess the gender of the speaker in case of non-baby speech.
+3. Classify the type of sound among four categories (Canonical, Non-Canonical, Laughing, Crying).
+
+### Workflow
+
+1. We used [DataLad](https://joss.theoj.org/papers/10.21105/joss.03262) to manage this campaign.
+2. The primary dataset (containing the audio and the metadata)
+was included in this repository as a subdataset. It was structured according to ChildProject's standards.
+3. [ChildProject](https://childproject.readthedocs.io/en/latest/) was used to generate the samples, to upload the audio chunks to zooniverse, and to retrieve the classifications.
+
+This repository contains all the scripts that we used to implement this workflow.
+You are welcome to re-use this code and adapt it to your needs.
+
+### Repository structure
+
+ - `annotations` contains annotations built from the classifications retrieved from Zooniverse.
+ - `classifications` contains the classifications retrieved from Zooniverse.
+ - `samples` contains the samples that were selected as well as the chunks generated from them.
+ - `vandam-data` is a subdataset containing VanDam Daylong corpus, structed according to ChildProject's standards.
+
+## Preparing samples
+
+### Sampling
+
+Sampling consists in selecting which portions of the recordings should be annotated by humans.
+It can be done through using the [samplers provided in the ChildProject package](https://childproject.readthedocs.io/en/latest/samplers.html).
+
+Here, we sample 50 vocalizations per recording among all those detected and attributed to the key child (CHI) or a female adult (FEM) by the Voice Type Classifier:
+
+```bash
+# download VTC annotations
+datalad get vandam-data/annotations/vtc/converted
+
+# sample random CHI and FEM vocalizations from these annotations
+child-project sampler vandam-data samples/chi_fem/ random-vocalizations \
+  --annotation-set vtc \
+  --target-speaker-type CHI FEM \
+  --sample-size 50 \
+  --by recording_filename
+```
+
+The sampler produces a CSV dataframe as `samples/chi_fem/segments_YYYYMMDD_HHMMSS.csv`, e.g. `samples/chi_fem/segments_20210716_184443.csv`.
+
+### Preparing the chunks for Zooniverse
+
+After the samples have been generated, they have to be extracted from the audio and uploaded to Zooniverse, which can be done with ChildProject's [extract-chunks](https://childproject.readthedocs.io/en/latest/zooniverse.html#chunk-extraction) function.
+However, these samples may contain private information about the participants. Therefore, they cannot be shared as is on a public crowd-sourcing platform. We therefore configure `extract-chunks` to split these samples into 500ms chunks, which will be classified in random order, thus preventing the recovery of sensitive information by the contributors:
+
+```bash
+datalad get vandam-data/recordings/converted/standard
+
+child-project zooniverse extract-chunks vandam-data \
+ --keyword chi_fem \
+ --chunks-length 500 \
+ --segments samples/chi_fem/segments_20210716_184443.csv \
+ --destination samples/chi_fem/chunks \
+ --profile standard
+```
+
+This will extract the audio chunks into `samples/chi_fem/chunks/chunks/` and write a metadata file into `samples/chi_fem/chunks` (in our case, as `samples/chi_fem/chunks/chunks_20210716_191944.csv`).
+
+See [ChildProject's documentation](https://childproject.readthedocs.io/en/latest/zooniverse.html) for more information about the Zooniverse pipeline.
+
+### Uploading audio chunks to Zooniverse
+
+Once the chunks have been extracted, the next step is to upload them to Zooniverse.
+Note that due to quotas, it is recommended to upload only a few at time (e.g. 1000 per day).
+
+You will need to provide the numerical id of your Zooniverse project;
+you will also need to set Zooniverse credentials as environment variables:
+
+```bash
+export ZOONIVERSE_LOGIN=""
+export ZOONIVERSE_PWD=""
+export PROJECT_ID=14957
+```
+
+```bash
+child-project zooniverse upload-chunks \
+ --chunks samples/chi_fem/chunks/chunks_20210716_191944.csv \
+ --project-id $PROJECT_ID \
+ --set-name vandam_chi_fem \
+ --amount 1000
+```
+
+This will display a message for each chunk:
+
+```bash
+...
+uploading chunk BN32_010007.mp3 (25153080,25153580)
+uploading chunk BN32_010007.mp3 (45016146,45016646)
+uploading chunk BN32_010007.mp3 (46794141,46794641)
+uploading chunk BN32_010007.mp3 (14107752,14108252)
+uploading chunk BN32_010007.mp3 (35709983,35710483)
+uploading chunk BN32_010007.mp3 (45433933,45434433)
+uploading chunk BN32_010007.mp3 (35711483,35711983)
+uploading chunk BN32_010007.mp3 (38737938,38738438)
+uploading chunk BN32_010007.mp3 (24586156,24586656)
+uploading chunk BN32_010007.mp3 (15556956,15557456)
+uploading chunk BN32_010007.mp3 (28439601,28440101)
+uploading chunk BN32_010007.mp3 (27317629,27318129)
+uploading chunk BN32_010007.mp3 (38391252,38391752)
+...
+```
+
+The subject set and its subjects (i.e. the chunks) now appears in the project:
+
+![Zooniverse subjects](extra/zoo1.png)
+1[Zooniverse subjects](extra/zoo2.png)
+
+## Retrieving classifications
+

samples/chi_fem/chunks/chunks/BN32_010007_13045173_13045673.mp3

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samples/chi_fem/chunks/chunks/BN32_010007_13968039_13968539.mp3

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samples/chi_fem/chunks/chunks/BN32_010007_13969039_13969539.mp3

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samples/chi_fem/chunks/chunks/BN32_010007_13969039_13969539.wav

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samples/chi_fem/chunks/chunks/BN32_010007_14108752_14109252.mp3

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