| --- |
| license: cc-by-4.0 |
| task_categories: |
| - audio-classification |
| language: |
| - en |
| tags: |
| - automated-speaking-assessment |
| - speech |
| - language-learning |
| pretty_name: OpenEnded |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
|
|
| This is the official dataset introduced in the paper. |
|
|
| OpenEnded: An Open-Response Speech Corpus for Speaking Proficiency Assessment with Human Annotations and ALM Supervision |
|
|
|
|
| Speech recordings of English-as-a-foreign-language learners with utterance-level speaking-assessment (ASA) scores: **Accuracy**, **Fluency**, **Prosody**. |
|
|
| ## Contents |
|
|
| ``` |
| wav/ 9,782 WAV files (~8.6G) |
| csv/ |
| gemini2_train.csv |
| gemini2_dev.csv |
| human_test.csv |
| meta_data.csv |
| ``` |
|
|
|
|
| ## Splits |
|
|
| | Split |File | # of utterances | # of speakers | .| |
| |-------------|------------------|-----------------|--------------------|------| |
| | train | gemini2_train.csv| 6,109 | 698 |The labels are pseudo-labels generated by the audio-language model (i.e., Gemini 2.0)| |
| | development | gemini2_dev.csv | 2,673 | 571 |The labels are pseudo-labels generated by the audio-language model (i.e., Gemini 2.0)| |
| | test | human_test.csv | 1,000 | 250 |The labels are human-annotated and include the individual scores from all three annotators, as well as their average score.| |
| | **total** | | **9,782** | **1,003 distinct** || |
| |
| Note: |
| - **test** is speaker-disjoint from both train and validation (0 overlap) |
| - **train** and **development** share 516 speakers. Development is intended as an in-domain held-out signal for early stopping, not for measuring speaker generalization. |
| - Unique speakers are identified based on anonymous speaker IDs provided by the language learning system. Because the data were collected anonymously, we cannot rule out the possibility that the same speaker may have multiple IDs. |
| |
| ## Score scale |
| |
| `accuracy`, `fluency`, `prosody` are integers in **[1, 5]**, higher = better. |
| |
| |
| ## Citation |
| |
| @inproceedings{chen2026openended, |
| title = {OpenEnded: An Open-Response Speech Corpus for Speaking Proficiency Assessment with Human Annotations and ALM Supervision}, |
| author = {Yu-Wen Chen, Eric Zhou, Evelyn Ding, Tianyi Shen, Zhou Yu, Julia Hirschberg}, |
| booktitle = {Proc. SLT 2026} |
| } |
| |
