Add English, French, German and update README

.gitattributes

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-Eng-NA/train.csv filter=lfs diff=lfs merge=lfs -text
-French/train.csv filter=lfs diff=lfs merge=lfs -text
+
+*.csv filter=lfs diff=lfs merge=lfs -text

Eng-NA/train.csv

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German/valid.csv

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README.md

@@ -1,14 +1,64 @@
 ---
 configs:
-- config_name: "Eng-NA"
+- config_name: "English"
+  default: True
   data_files:
   - split: train
-    path: Eng-NA/*
+    path: Eng-NA/train.csv
+  - split: valid
+    path: Eng-NA/valid.csv
+  - split: test
+    path: Eng-NA/test.csv
 - config_name: "French"
   data_files:
   - split: train
-    path: French/*
+    path: French/train.csv
+  - split: valid
+    path: French/valid.csv
+  - split: test
+    path: French/test.csv
+- config_name: "German"
+  data_files:
+  - split: train
+    path: German/train.csv
+  - split: valid
+    path: German/valid.csv
+  - split: test
+    path: German/test.csv
+language:
+- en
+- de
+- fr
+- es
+tags:
+- language modeling
+- cognitive modeling
+pretty_name: Phonemized Child Directed Speech
+size_categories:
+- 100K<n<1M
 ---
 
 # Phonemized Child Directed Speech Dataset
-This download includes LM Pretraining data for the Transformer Segmentation project. 
+
+This dataset contains utterance downloaded from CHILDES which have been pre-processed and converted to phonemic transcriptions by this [processing script](https://github.com/codebyzeb/Corpus-Phonemicizers). Many of the columns from CHILDES have been preserved in case they may be useful for experiments (e.g. number of morphemes, part-of-speech tags, etc.). The key columns added by the processing script are as follows:
+
+| Column | Description |
+|:----|:-----|
+| `is_child`| Whether the utterance was spoken by a child or not. Note that this is set to `False` for all utterances in this dataset, but the processing script has the ability to preserve child utterances.|
+| `processed_gloss`| The pre-processed orthographic utterance. This includes lowercasing, fixing English spelling and adding punctuation marks. This is based on the [AOChildes](https://github.com/UIUCLearningLanguageLab/AOCHILDES) preprocessing.|
+| `phonemized_utterance`| A phonemic transcription of the utterance, space-separated with word boundaries marked with the `WORD_BOUNDARY` token.|
+| `language_code`| Language code used for producing the phonemic transcriptions. May not match the `language` column provided by CHILDES (e.g. Eng-NA and Eng-UK tend to be transcribed with eng-us and eng-gb). |
+| `character_split_utterance`| A space separated transcription of the utterance, produced simply by splitting the processed gloss by character. This is intended to have a very similar format to `phonemized_utterance` for studies comparing phonetic to orthographic transcriptions. |
+
+The last two columns are designed for training character-based (phoneme-based) language models using a simple tokenizer that splits around whitespace. The `processed_gloss` column is suitable for word-based (or subword-based) language models with standard tokenizers. 
+
+Note that the data has been sorted by the `target_child_age` column, which stores child age in months. This can be used to limit the training data according to a maximum child age, if you wish. 
+
+Each subset of the data is split into a training, validation and testing split using a 90:5:5 ratio. The following languages are included:
+
+| Language | Description | Speakers | Utterances | Words | Phonemes
+|:----|:-----|:-----|:----|:-----|:-----|
+| English | Taken from 44 corpora in Eng-NA collection of CHILDES and phonemized using language code `en-us`. | 2,692 | 1,646,954 | 7,090,066 | 21,932,139
+| French | Taken from 11 corpora in French collection of CHILDES and phonemized using language code `fr-fr`. | 722 | 432,133 | 1,995,063 | 5,510,523
+| German | Taken from 10 corpora in German collection of CHILDES and phonemized using language code `ge`. | 627 | 850,888 | 3,893,168 | 14,032,948
+