--- license: odc-by dataset_info: - config_name: deu_Latn features: - name: text dtype: string - name: id dtype: string - name: dump dtype: string - name: url dtype: string - name: date dtype: string - name: file_path dtype: string - name: language dtype: string - name: language_score dtype: float64 - name: language_script dtype: string - name: minhash_cluster_size dtype: int64 - name: top_langs dtype: string - name: eai_lenChar dtype: string - name: eai_lenClass dtype: string - name: eai_readabilityLIX dtype: string - name: eai_readabilityEAI dtype: string - name: eai_readabilityCScore dtype: string - name: eai_quality dtype: string - name: eai_geoClass dtype: string - name: eai_timeRef dtype: string - name: eai_categories dtype: string - name: eai_subject dtype: string - name: eai_metrics dtype: string - name: eai_idGeonames dtype: string - name: eai_idWikiPeople dtype: string - name: eai_idWikiOrg dtype: string - name: eai_idWikiGeo dtype: string - name: eai_idWikiOther dtype: string - name: eai_idGoogleKGraph dtype: string - name: eai_idIATE dtype: string - name: eai_bias dtype: string - name: eai_sensitiveContent dtype: string - name: eai_opinions dtype: string - name: eai_negativity dtype: string - name: eai_privacy dtype: string - name: eai_language dtype: string - name: eai_date dtype: string - name: eai_source dtype: string - name: eai_urlReachable dtype: string - name: eai_robotsTxt dtype: string - name: eai_licenseInfo dtype: string splits: - name: train num_bytes: 60370038 num_examples: 15055 download_size: 33575362 dataset_size: 60370038 - config_name: spa_Latn features: - name: text dtype: string - name: id dtype: string - name: dump dtype: string - name: url dtype: string - name: date dtype: string - name: file_path dtype: string - name: language dtype: string - name: language_score dtype: float64 - name: language_script dtype: string - name: minhash_cluster_size dtype: int64 - name: top_langs dtype: string - name: eai_lenChar dtype: string - name: eai_lenClass dtype: string - name: eai_readabilityLIX dtype: string - name: eai_readabilityEAI dtype: string - name: eai_readabilityCScore dtype: string - name: eai_quality dtype: string - name: eai_geoClass dtype: string - name: eai_timeRef dtype: string - name: eai_categories dtype: string - name: eai_subject dtype: string - name: eai_metrics dtype: string - name: eai_idGeonames dtype: string - name: eai_idWikiPeople dtype: string - name: eai_idWikiOrg dtype: string - name: eai_idWikiGeo dtype: string - name: eai_idWikiOther dtype: string - name: eai_idGoogleKGraph dtype: string - name: eai_idIATE dtype: string - name: eai_bias dtype: string - name: eai_sensitiveContent dtype: string - name: eai_opinions dtype: string - name: eai_negativity dtype: string - name: eai_privacy dtype: string - name: eai_language dtype: string - name: eai_date dtype: string - name: eai_source dtype: string - name: eai_urlReachable dtype: string - name: eai_robotsTxt dtype: string - name: eai_licenseInfo dtype: string splits: - name: train num_bytes: 74069670 num_examples: 15043 download_size: 40834569 dataset_size: 74069670 - config_name: fra_Latn features: - name: text dtype: string - name: id dtype: string - name: dump dtype: string - name: url dtype: string - name: date dtype: string - name: file_path dtype: string - name: language dtype: string - name: language_score dtype: float64 - name: language_script dtype: string - name: minhash_cluster_size dtype: int64 - name: top_langs dtype: string - name: eai_lenChar dtype: string - name: eai_lenClass dtype: string - name: eai_readabilityLIX dtype: string - name: eai_readabilityEAI dtype: string - name: eai_readabilityCScore dtype: string - name: eai_quality dtype: string - name: eai_geoClass dtype: string - name: eai_timeRef dtype: string - name: eai_categories dtype: string - name: eai_subject dtype: string - name: eai_metrics dtype: string - name: eai_idGeonames dtype: string - name: eai_idWikiPeople dtype: string - name: eai_idWikiOrg dtype: string - name: eai_idWikiGeo dtype: string - name: eai_idWikiOther dtype: string - name: eai_idGoogleKGraph dtype: string - name: eai_idIATE dtype: string - name: eai_bias dtype: string - name: eai_sensitiveContent dtype: string - name: eai_opinions dtype: string - name: eai_negativity dtype: string - name: eai_privacy dtype: string - name: eai_language dtype: string - name: eai_date dtype: string - name: eai_source dtype: string - name: eai_urlReachable dtype: string - name: eai_robotsTxt dtype: string - name: eai_licenseInfo dtype: string splits: - name: train num_bytes: 70107347 num_examples: 15054 download_size: 38372943 dataset_size: 70107347 - config_name: ita_Latn features: - name: text dtype: string - name: id dtype: string - name: dump dtype: string - name: url dtype: string - name: date dtype: string - name: file_path dtype: string - name: language dtype: string - name: language_score dtype: float64 - name: language_script dtype: string - name: minhash_cluster_size dtype: int64 - name: top_langs dtype: string - name: eai_lenChar dtype: string - name: eai_lenClass dtype: string - name: eai_readabilityLIX dtype: string - name: eai_readabilityEAI dtype: string - name: eai_readabilityCScore dtype: string - name: eai_quality dtype: string - name: eai_geoClass dtype: string - name: eai_timeRef dtype: string - name: eai_categories dtype: string - name: eai_subject dtype: string - name: eai_metrics dtype: string - name: eai_idGeonames dtype: string - name: eai_idWikiPeople dtype: string - name: eai_idWikiOrg dtype: string - name: eai_idWikiGeo dtype: string - name: eai_idWikiOther dtype: string - name: eai_idGoogleKGraph dtype: string - name: eai_idIATE dtype: string - name: eai_bias dtype: string - name: eai_sensitiveContent dtype: string - name: eai_opinions dtype: string - name: eai_negativity dtype: string - name: eai_privacy dtype: string - name: eai_language dtype: string - name: eai_date dtype: string - name: eai_source dtype: string - name: eai_urlReachable dtype: string - name: eai_robotsTxt dtype: string - name: eai_licenseInfo dtype: string splits: - name: train num_bytes: 68044220 num_examples: 15096 download_size: 38063413 dataset_size: 68044220 configs: - config_name: deu_Latn data_files: - split: train path: deu_Latn/train-* - config_name: spa_Latn data_files: - split: train path: spa_Latn/train-* - config_name: fra_Latn data_files: - split: train path: fra_Latn/train-* - config_name: ita_Latn data_files: - split: train path: ita_Latn/train-* language: - it - es - fr - de --- # fineweb-2-sample-60k-meta ## Overview This dataset is a **metadata-enriched multilingual sample** of the original [FineWeb-2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2) dataset. FineWeb-2 is a large-scale, high-quality web text corpus derived from **Common Crawl**, built through extensive filtering, deduplication, and language identification steps to support the training of modern large language models. It emphasizes text quality, diversity, and transparency, and includes rich crawl-level metadata inherited from Common Crawl. This release contains a **60,000-entry sample** drawn from FineWeb-2 and enriched with **additional symbolic metadata layers** aimed at improving interpretability, licensing awareness, and semantic analysis of web text. --- ## Language Distribution The dataset includes **five languages**, with an equal number of samples per language: | Language | Subset | Number of Entries | Percentage | |---------|----------|------------------|------------| | Italian | ita_Latn | 15,096 | 25% | | French | fra_Latn | 15,054 | 25% | | German | deu_Latn | 15,055 | 25% | | Spanish | spa_Latn | 15,043 | 25% | --- ## Sampling Strategy This dataset represents a **small sample** of the original FineWeb-2 corpus. The sampling preserves crawl-level provenance and the original FineWeb-2 filtering guarantees. The goal is not to replace FineWeb-2, but to provide a **research-oriented subset** enriched with structured metadata that can support downstream analyses of licensing, content characteristics, and semantic properties. --- ## Metadata Enrichment Each document has been enriched with two complementary categories of metadata. ### License-Related Metadata License-related metadata aims to assess whether the original content may be considered **permissively usable**. For each document, we check: - whether the **original URL is still reachable**, - whether the website’s **robots.txt** allows crawler access, - whether the website **explicitly mentions a license** governing its content. These signals are intended to support **large-scale auditing and filtering**, not to provide definitive legal judgments. --- ### Semantics-Related Metadata Semantics-related metadata is designed to provide a **structured, symbolic interpretation** of the text. Four main areas are covered: 1. **Formal features** Including text length, readability, informativeness, and structural complexity. 2. **Entity focus** Detection of people, organizations, temporal references, and geographical locations. 3. **Domain and topic classification** Assignment of domains and subdomains describing the subject matter of the text. 4. **Content risk indicators** Detection of potentially biased content, sensitive information, opinions, negativity, and personal data. All semantics-related metadata has been extracted using an **entirely symbolic processing stack**, chosen for **cost efficiency, scalability, and reproducibility**. In particular, semantic annotations were generated using the proprietary **[expert.ai](https://www.expert.ai/) knowledge graph**. --- ## Methodology Notes - No neural models were used for metadata extraction. - All annotations are deterministic and rule-based. - This design prioritizes **computational efficiency**, interpretability, and ease of large-scale deployment. --- ## Work in Progress This dataset represents an **initial sample release**. Work is ongoing to extend the same metadata enrichment pipeline to **the entirety of FineWeb-2**. All future steps, methodological details, and validation results will be documented in a **dedicated technical report**. --- ## Data Fields Each entry includes the following fields: | Field | Type | Description | |------|------|-------------| | `text` | string | Main text content | | `id` | string | Original unique identifier from Common Crawl | | `dump` | string | Common Crawl dump this sample was extracted from | | `url` | string | URL of the original web page | | `date` | string | Crawl date (from Common Crawl) | | `file_path` | string | S3 path of the Common Crawl WARC file | | `language` | string | ISO 639-3 language code | | `language_score` | float64 | Language prediction score from GlotLID | | `language_script` | string | Script of the text (e.g. Latn) | | `minhash_cluster_size` | int64 | Size of the MinHash cluster | | `top_langs` | string | Language-script pairs with classifier scores | | `eai_lenChar` | string | Length of the text in characters | | `eai_lenClass` | string | Length class (clause, paragraph, article, book, etc.) | | `eai_readabilityLIX` | string | LIX readability index | | `eai_readabilityEAI` | string | Structural and semantic readability index | | `eai_readabilityCScore` | string | Informativeness score | | `eai_quality` | string | Indicators of processing difficulty | | `eai_geoClass` | string | Detected geographic areas | | `eai_timeRef` | string | Detected temporal references | | `eai_categories` | string | Topics and domains | | `eai_subject` | string | Types of referents detected | | `eai_metrics` | string | Relevance of detected entity types | | `eai_idGeonames` | string | GeoNames identifiers | | `eai_idWikiPeople` | string | Wikipedia people identifiers | | `eai_idWikiOrg` | string | Wikipedia organization identifiers | | `eai_idWikiGeo` | string | Wikipedia location identifiers | | `eai_idWikiOther` | string | Other Wikipedia entity identifiers | | `eai_idGoogleKGraph` | string | Google Knowledge Graph identifiers | | `eai_idIATE` | string | IATE (EU terminology) identifiers | | `eai_bias` | string | Presence of biased content | | `eai_sensitiveContent` | string | Presence of sensitive content | | `eai_opinions` | string | Opinionated language indicators | | `eai_negativity` | string | Negative sentiment | | `eai_privacy` | string | Presence of personal data | | `eai_source` | string | Source web domain | | `eai_urlReachable` | string | Whether the URL is currently reachable | | `eai_robotsTxt` | string | Robots.txt crawler permissions | | `eai_licenseInfo` | string | License information detected on the website | --- ## Intended Use This dataset is intended for: - research on **licensing-aware data selection**, - semantic analysis of large-scale web corpora, - multilingual text quality assessment, - development and evaluation of dataset auditing pipelines. It is **not intended to replace** FineWeb-2, but to complement it with richer symbolic metadata. --- ## Licensing This dataset inherits the licensing considerations of the original FineWeb-2 corpus. The additional metadata is provided as-is and does not constitute legal advice regarding the usability of the underlying content. Users are responsible for ensuring compliance with applicable licenses and terms of use.