--- size_categories: n<1K tags: - rlfh - argilla - human-feedback --- # Dataset Card for inspect_asr_eval_results This dataset has been created with [Argilla](https://github.com/argilla-io/argilla). As shown in the sections below, this dataset can be loaded into your Argilla server as explained in [Load with Argilla](#load-with-argilla), or used directly with the `datasets` library in [Load with `datasets`](#load-with-datasets). ## Using this dataset with Argilla To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code: ```python import argilla as rg ds = rg.Dataset.from_hub("michaljunczyk/inspect_asr_eval_results") ``` This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation. ## Using this dataset with `datasets` To load the records of this dataset with `datasets`, you'll just need to install `datasets` as `pip install datasets --upgrade` and then use the following code: ```python from datasets import load_dataset ds = load_dataset("michaljunczyk/inspect_asr_eval_results") ``` This will only load the records of the dataset, but not the Argilla settings. ## Dataset Structure This dataset repo contains: * Dataset records in a format compatible with HuggingFace `datasets`. These records will be loaded automatically when using `rg.Dataset.from_hub` and can be loaded independently using the `datasets` library via `load_dataset`. * The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla. * A dataset configuration folder conforming to the Argilla dataset format in `.argilla`. The dataset is created in Argilla with: **fields**, **questions**, **suggestions**, **metadata**, **vectors**, and **guidelines**. ### Fields The **fields** are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset. | Field Name | Title | Type | Required | Markdown | | ---------- | ----- | ---- | -------- | -------- | | audio | Audio file | text | True | True | | hyp | ASR output | text | True | False | | ref | Reference transcription | text | True | False | ### Questions The **questions** are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking. | Question Name | Title | Type | Required | Description | Values/Labels | | ------------- | ----- | ---- | -------- | ----------- | ------------- | | error_types | Mark all ASR errors present in the hypothesis or select OK - no errors. | multi_label_selection | True | Select all that apply. | ['none', 'spacing', 'punctuation', 'numerical', 'removal', 'addition', 'replacement', 'spelling', 'syntax', 'foreign_language', 'empty', 'hallucination'] | | asr_error | If applicable, mark error spans in ASR hypothesis. | span | False | Mark and classify ASR errors. | N/A | | ref_issue | If applicable, mark issues in reference. | label_selection | False | N/A | ['minor', 'major', 'critical'] | | audio_issue | If applicable, mark issues in audio. | label_selection | False | N/A | ['invalid', 'hard_noise', 'hard_interlocutor'] | ### Data Instances An example of a dataset instance in Argilla looks as follows: ```json { "_server_id": "f1cb2f9c-4428-48f7-97e2-3c7359c426a8", "fields": { "audio": "\n\u003caudio controls\u003e\n \u003csource src=\"https://huggingface.co./datasets/michaljunczyk/bigos-eval-results-secret/resolve/main/inspection_input/audio/amu-cai/pl-asr-bigos-v2-secret/pwr-viu-unk/pwr-viu-unk-test-0003-00283.mp3\" type=\"audio/mpeg\"\u003e\n\u003c/audio\u003e\n", "hyp": "Hyphotesis", "ref": "Reference transcription wav" }, "id": "dce1711c-1d36-4d2a-86ac-afaf85aacb06", "metadata": { "subset": "pwr-viu-unk-3" }, "responses": { "asr_error": [ { "user_id": "bee532bf-10c0-4a3f-9386-3b5c3522197a", "value": [] } ], "error_types": [ { "user_id": "bee532bf-10c0-4a3f-9386-3b5c3522197a", "value": [ "none" ] } ] }, "status": "completed", "suggestions": {}, "vectors": {} } ``` While the same record in HuggingFace `datasets` looks as follows: ```json { "_server_id": "f1cb2f9c-4428-48f7-97e2-3c7359c426a8", "asr_error.responses": [ [] ], "asr_error.responses.status": [ "submitted" ], "asr_error.responses.users": [ "bee532bf-10c0-4a3f-9386-3b5c3522197a" ], "audio": "\n\u003caudio controls\u003e\n \u003csource src=\"https://huggingface.co./datasets/michaljunczyk/bigos-eval-results-secret/resolve/main/inspection_input/audio/amu-cai/pl-asr-bigos-v2-secret/pwr-viu-unk/pwr-viu-unk-test-0003-00283.mp3\" type=\"audio/mpeg\"\u003e\n\u003c/audio\u003e\n", "audio_issue.responses": null, "audio_issue.responses.status": null, "audio_issue.responses.users": null, "error_types.responses": [ [ "none" ] ], "error_types.responses.status": [ "submitted" ], "error_types.responses.users": [ "bee532bf-10c0-4a3f-9386-3b5c3522197a" ], "hyp": "Hyphotesis", "id": "dce1711c-1d36-4d2a-86ac-afaf85aacb06", "ref": "Reference transcription wav", "ref_issue.responses": null, "ref_issue.responses.status": null, "ref_issue.responses.users": null, "status": "completed", "subset": "pwr-viu-unk-3" } ``` ### Data Splits The dataset contains a single split, which is `train`. ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation guidelines Inspect ASR evaluation results and data. #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions [More Information Needed]