| # Stats for `stanfordnlp/sst2` |
|
|
| Generated by [`dataset-stats.py`](https://github.com/tcondello/uv-scripts-colab/blob/main/recipes/dataset-stats.py) over the `train` split. |
|
|
| - **Total rows in split:** 67,349 |
| - **Rows profiled:** 5,000 |
| - **Columns:** 3 |
|
|
| ## Column overview |
|
|
| | column | type | kind | null % | highlights | |
| |---|---|---|---:|---| |
| | `idx` | `Value(int32)` | numeric | 0.0% | min=0.00 · p50=2,499.50 · max=4,999.00 · distinct=5000 | |
| | `sentence` | `Value(string)` | string | 0.0% | distinct=4,999 · len p50=39 · max=255 | |
| | `label` | `ClassLabel` | class_label | 0.0% | `positive`=2758 · `negative`=2242 | |
| |
| ## Per-column detail |
| |
| ### `idx` |
| |
| - **type:** `Value(int32)` • **kind:** numeric • **null:** 0 / 5,000 (0.0%) |
| |
| ```json |
| { |
| "kind": "numeric", |
| "n": 5000, |
| "min": 0.0, |
| "p1": 49.99, |
| "p25": 1249.75, |
| "p50": 2499.5, |
| "p75": 3749.25, |
| "p99": 4949.01, |
| "max": 4999.0, |
| "mean": 2499.5, |
| "std": 1443.3756441065507, |
| "distinct": 5000 |
| } |
| ``` |
| |
| ### `sentence` |
| |
| - **type:** `Value(string)` • **kind:** string • **null:** 0 / 5,000 (0.0%) |
| |
| ```json |
| { |
| "kind": "string", |
| "n": 5000, |
| "distinct": 4999, |
| "len_min": 2, |
| "len_p50": 39, |
| "len_mean": 53.479, |
| "len_p99": 194, |
| "len_max": 255, |
| "top_values": [ |
| { |
| "value": "unfunny ", |
| "count": 2 |
| }, |
| { |
| "value": "hide new secretions from the parental units ", |
| "count": 1 |
| }, |
| { |
| "value": "contains no wit , only labored gags ", |
| "count": 1 |
| }, |
| { |
| "value": "that loves its characters and communicates something rather beautiful about human nature ", |
| "count": 1 |
| }, |
| { |
| "value": "remains utterly satisfied to remain the same throughout ", |
| "count": 1 |
| }, |
| { |
| "value": "on the worst revenge-of-the-nerds clichés the filmmakers could dredge up ", |
| "count": 1 |
| }, |
| { |
| "value": "that 's far too tragic to merit such superficial treatment ", |
| "count": 1 |
| }, |
| { |
| "value": "demonstrates that the director of such hollywood blockbusters as patriot games can still turn out a ", |
| "count": 1 |
| }, |
| { |
| "value": "of saucy ", |
| "count": 1 |
| }, |
| { |
| "value": "a depressed fifteen-year-old 's suicidal poetry ", |
| "count": 1 |
| } |
| ], |
| "samples": { |
| "shortest": "( ", |
| "median": "piece , a model of menacing atmosphere ", |
| "longest": "director george hickenlooper has had some success with documentaries , but here his sense of story and his juvenile camera movements smack of a film school undergrad , and his maudlin ending might not" |
| } |
| } |
| ``` |
| |
| ### `label` |
| |
| - **type:** `ClassLabel` • **kind:** class_label • **null:** 0 / 5,000 (0.0%) |
|
|
| ```json |
| { |
| "kind": "class_label", |
| "n": 5000, |
| "num_classes": 2, |
| "value_counts": [ |
| { |
| "id": 1, |
| "name": "positive", |
| "count": 2758, |
| "pct": 55.16 |
| }, |
| { |
| "id": 0, |
| "name": "negative", |
| "count": 2242, |
| "pct": 44.84 |
| } |
| ] |
| } |
| ``` |
|
|
| ## Reproduce |
|
|
| ```bash |
| INPUT_DATASET=stanfordnlp/sst2 \ |
| OUTPUT_DATASET=Tim-Pinecone/sst2-stats \ |
| SPLIT=train LIMIT=5000 \ |
| bin/colab-hf-run recipes/dataset-stats.py |
| ``` |
|
|
| ## Machine-readable |
|
|
| Per-column rows live in the dataset's `train` split: one row per column with `column`, `feature_type`, `kind`, `n_total`, `n_null`, `null_pct`, and `stats_json` (full per-kind detail). |
