Update README.md

README.md

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 ---
+pretty_name: "SPARC: Spoken Profile Authorship Recognition Corpus"
+language:
+- en
 license: mit
+license_name: sparc-mixed
+task_categories:
+- text-classification
+tags:
+- authorship-verification
+- speaker-verification
+- privacy
+- speech-transcripts
+- podcasts
+size_categories:
+- 1M<n<10M
+viewer: false
+extra_gated_prompt: >-
+  SPARC is released for privacy research only. Do not use it to re-identify or profile individuals,
+  or for forensic, law-enforcement, employment, eligibility, or other high-stakes decisions.
+  Sex, age, and accent labels are model-inferred, not verified identities. The SPoRC-derived
+  portion is subject to the SPoRC data-use terms (research and education only).
+extra_gated_fields:
+  Affiliation: text
+  Intended use: text
+  I agree to use SPARC only for research on transcript privacy and its defenses: checkbox
+  I agree to the SPoRC data-use terms for the SPoRC-derived file: checkbox
 ---
+
+# SPARC: Spoken Profile Authorship Recognition Corpus
+
+SPARC is a benchmark for measuring how much **speaker identity** and **demographic attributes** (sex, age, accent) leak from transcribed speech. It contains quality-filtered, single-speaker podcast transcripts from two corpora, NaturalVoices and SPoRC, with speaker-level attribute labels.
+
+**This repository contains the speaker-level data only.** The code, the verification-trial generation used in the paper (identity, sex, age, and accent trials; probe length P ∈ {50, 200} words; enrollment size L ∈ {5, 20} utterances), and the evaluation scripts are on GitHub: [link](https://github.com/bowenyi-pierre/SPARC)
+
+## Files
+
+| File | Source | Speakers | Episodes | Utterances | Words | Size |
+|---|---|---:|---:|---:|---:|---:|
+| `naturalvoices_speaker_info_anon.json` | NaturalVoices (CC-BY 4.0 episodes) | 2,344 | 3,500 | 779,494 | 13.7M | 87 MB |
+| `sporc_speaker_info_anon.json` | SPoRC (single-speaker subset) | 10,165 | 15,555 | 795,591 | 26.5M | 153 MB |
+
+Both files share the same structure.
+
+## Structure
+
+Each file is a JSON object keyed by speaker ID. Each speaker maps to one key per episode (that speaker's utterances in that episode) plus five attribute keys:
+
+```json
+{
+  "n00030": {
+    "MSP-PODCAST_0001": [
+      "Hey, you are listening to Nothing Sounds Better Podcast.",
+      "..."
+    ],
+    "age": 28.78,
+    "gender": "male",
+    "accent": "North America",
+    "accent_probs": {"Eastern Asia": 0.0001, "English": 0.001, "...": "...", "North America": 0.9688, "Welsh": 0.0},
+    "accent_num_utterances": 16
+  }
+}
+```
+
+| Key | Type | Description |
+|---|---|---|
+| `<episode_id>` | `list[str]` | The speaker's retained utterances in that episode, in temporal order. Every key that is not one of the five attributes below is an episode. |
+| `age` | `float` | Predicted age in years, averaged over utterances. |
+| `gender` | `str` | Predicted sex: `male` or `female`. NaturalVoices also contains `child` for 5 speakers. |
+| `accent` | `str` | Argmax of `accent_probs`. |
+| `accent_probs` | `dict[str, float]` | Speaker-level distribution over 16 English dialect classes: Eastern Asia, English, Germanic, Irish, North America, Northern Irish, Oceania, Other, Romance, Scottish, Semitic, Slavic, South African, South-eastern Asia, Southern Asia, Welsh. |
+| `accent_num_utterances` | `int` | Number of utterance-level predictions averaged into `accent_probs`. |
+
+### Identifiers
+
+| | NaturalVoices | SPoRC |
+|---|---|---|
+| Speaker ID | `n` + original NaturalVoices speaker ID, zero-padded (`n00030` = speaker 30) | `s00000`–`s10164`, pseudonymous; speaker names are not released |
+| Episode ID | `MSP-PODCAST_####`, from NaturalVoices | `ep_######`, internal episode index |
+| Episodes | May contain several speakers (1,699 of 3,500) | Single-speaker |
+
+## Loading
+
+The files are nested JSON (one object per speaker), so `load_dataset` and the dataset viewer do not apply. Load them directly:
+
+```python
+import json
+from huggingface_hub import hf_hub_download
+
+ATTRS = {"age", "gender", "accent", "accent_probs", "accent_num_utterances"}
+
+path = hf_hub_download("timtsapras23/SPARC", "naturalvoices_speakers.json", repo_type="dataset")
+with open(path) as f:
+    data = json.load(f)
+
+for speaker_id, info in data.items():
+    episodes = {k: v for k, v in info.items() if k not in ATTRS}  
+    labels = {k: info[k] for k in ATTRS}
+```
+
+Use the GitHub scripts to build the verification trials from these files.
+
+## Construction
+
+SPARC is built from two English podcast corpora: [NaturalVoices](https://arxiv.org/abs/2511.00256) (Du et al., 2025) and [SPoRC](https://arxiv.org/abs/2411.07892) (Litterer et al., 2025). Speaker labels are either taken from the original data or inferred with speech models:
+
+- **Age and sex.** Taken from the original metadata for NaturalVoices; inferred with [Vox-Profile](https://arxiv.org/abs/2505.14648) (Feng et al., 2025b) for SPoRC.
+- **Accent.** Inferred with [Voxlect](https://arxiv.org/abs/2508.01691) (Feng et al., 2025a) for both corpora.
+
+Details are in the paper.
+
+## Statistics
+
+| | NaturalVoices | SPoRC |
+|---|---:|---:|
+| Speakers | 2,344 | 10,165 |
+| Unique episodes | 3,500 | 15,555 |
+| Speaker–episode pairs | 6,766 | 15,555 |
+| Utterances | 779,494 | 795,591 |
+| Avg. utterances / speaker | 332.6 | 78.3 |
+| Mean age (years) | 41.5 | 37.9 |
+| Male / Female / Child (%) | 52.4 / 47.4 / 0.2 | 59.3 / 40.7 / 0 |
+| Age < 30 / 30–60 / 60+ (%) | 15.7 / 76.2 / 8.1 | 36.3 / 53.1 / 10.6 |
+| North American accent (%) | 78.2 | 77.3 |
+
+
+## Intended Use
+
+SPARC is intended for research on transcript privacy: measuring identity and attribute leakage from transcribed speech, and developing and evaluating text-level anonymization and other defenses.
+
+**Out of scope:** re-identifying, profiling, or making decisions about individuals, including forensic, law-enforcement, employment, eligibility, or other high-stakes uses.
+
+## License
+
+- `naturalvoices_speakers.json`: derived from NaturalVoices episodes released under CC-BY 4.0; redistributed under **CC-BY 4.0**. Please credit NaturalVoices (Du et al., 2025).
+- `sporc_speakers.json`: derived from SPoRC; use is subject to the [SPoRC data-use terms](https://huggingface.co/datasets/blitt/SPoRC) (research and education only, no commercial use). Please credit SPoRC (Litterer et al., 2025).
+- Accent labels are produced with Voxlect; reuse should comply with Voxlect's Responsible AI License.
+
+## Citation
+
+```bibtex
+@misc{sparc2027,
+  title  = {SPARC: Spoken Profile Authorship Recognition Corpus},
+  author = {Anonymous},
+  year   = {2027},
+  note   = {Under review}
+}
+```
+
+Please also cite the source corpora and labeling models:
+
+- Du et al. 2025. *NaturalVoices: A Large-Scale, Spontaneous and Emotional Podcast Dataset for Voice Conversion.* arXiv:2511.00256.
+- Litterer, Jurgens, and Card. 2025. *Mapping the Podcast Ecosystem with the Structured Podcast Research Corpus.* ACL 2025.
+- Feng et al. 2025. *Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits.* arXiv:2505.14648.
+- Feng et al. 2025. *Voxlect: A Speech Foundation Model Benchmark for Modeling Dialects and Regional Languages Around the Globe.* arXiv:2508.01691.